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@inproceedings{DBLP:conf/aistats/0001CKM24,
author = {Diptarka Chakraborty and
Sourav Chakraborty and
Gunjan Kumar and
Kuldeep S. Meel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Equivalence Testing: The Power of Bounded Adaptivity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3592--3600},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chakraborty24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0001CKM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0001LWZ24,
author = {Yang Cai and
Haipeng Luo and
Chen{-}Yu Wei and
Weiqiang Zheng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum
Markov Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3889--3897},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/cai24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0001LWZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0001MFAZHWB24,
author = {Alexander Tong and
Nikolay Malkin and
Kilian Fatras and
Lazar Atanackovic and
Yanlei Zhang and
Guillaume Huguet and
Guy Wolf and
Yoshua Bengio},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Simulation-Free Schr{\"{o}}dinger Bridges via Score and Flow
Matching},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1279--1287},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/y-tong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0001MFAZHWB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0002LSXZ024,
author = {Yue Xing and
Xiaofeng Lin and
Qifan Song and
Yi Xu and
Belinda Zeng and
Guang Cheng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Better Representations via Adversarial Training in Pre-Training: {A}
Theoretical Perspective},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {199--207},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xing24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0002LSXZ024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0002V0TRB24,
author = {Marco Pegoraro and
Sanketh Vedula and
Aviv Rosenberg and
Irene Tallini and
Emanuele Rodol{\`{a}} and
Alex M. Bronstein},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Vector Quantile Regression on Manifolds},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1999--2007},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/pegoraro24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0002V0TRB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0002Y0024,
author = {Zhao Song and
Junze Yin and
Lichen Zhang and
Ruizhe Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fast Dynamic Sampling for Determinantal Point Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {244--252},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/song24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0002Y0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0002Y024,
author = {Zhao Song and
Junze Yin and
Lichen Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Solving Attention Kernel Regression Problem via Pre-conditioner},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {208--216},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/song24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0002Y024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0002Z24,
author = {Kaiqi Zhao and
Ming Zhao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Self-Supervised Quantization-Aware Knowledge Distillation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4375--4383},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhao24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0002Z24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/00040SS24,
author = {Zheng Zhao and
Sebastian Mair and
Thomas B. Sch{\"{o}}n and
Jens Sj{\"{o}}lund},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On Feynman-Kac training of partial Bayesian neural networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3223--3231},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhao24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/00040SS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0004GGHTABYKP24,
author = {Charles Xu and
Laney Goldman and
Valentina Guo and
Benjamin Hollander{-}Bodie and
Maedee Trank{-}Greene and
Ian Adelstein and
Edward De Brouwer and
Rex Ying and
Smita Krishnaswamy and
Michael Perlmutter},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {BLIS-Net: Classifying and Analyzing Signals on Graphs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4537--4545},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xu24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0004GGHTABYKP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0007GDM24,
author = {Yu Yang and
Eric Gan and
Gintare Karolina Dziugaite and
Baharan Mirzasoleiman},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Identifying Spurious Biases Early in Training through the Lens of
Simplicity Bias},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2953--2961},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yang24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0007GDM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/0027Y24,
author = {Chen Li and
Yoshihiro Yamanishi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {TenGAN: Pure Transformer Encoders Make an Efficient Discrete {GAN}
for De Novo Molecular Generation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {361--369},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/0027Y24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AbbasZRBSSC24,
author = {Momin Abbas and
Yi Zhou and
Parikshit Ram and
Nathalie Baracaldo and
Horst Samulowitz and
Theodoros Salonidis and
Tianyi Chen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Enhancing In-context Learning via Linear Probe Calibration},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {307--315},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/abbas24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AbbasZRBSSC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AbedsoltanPRB24,
author = {Amirhesam Abedsoltan and
Parthe Pandit and
Luis Rademacher and
Mikhail Belkin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Nystr{\"{o}}m Approximation for Preconditioning in Kernel
Machines},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3718--3726},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/abedsoltan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AbedsoltanPRB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AbernethySS24,
author = {Jacob D. Abernethy and
Robert E. Schapire and
Umar Syed},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Lexicographic Optimization: Algorithms and Stability},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2503--2511},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/d-abernethy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AbernethySS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AbroshanEK24,
author = {Mahed Abroshan and
Andrew Elliott and
Mohammad Mahdi Khalili},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Imposing Fairness Constraints in Synthetic Data Generation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2269--2277},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/abroshan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AbroshanEK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AchddouCL24,
author = {Juliette Achddou and
Nicol{\`{o}} Cesa{-}Bianchi and
Pierre Laforgue},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multitask Online Learning: Listen to the Neighborhood Buzz},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1846--1854},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/achddou24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AchddouCL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AdachiHJWNOO24,
author = {Masaki Adachi and
Satoshi Hayakawa and
Martin J{\o}rgensen and
Xingchen Wan and
Vu Nguyen and
Harald Oberhauser and
Michael A. Osborne},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Batch Sizes for Active Learning: {A} Probabilistic Numerics
Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {496--504},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/adachi24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AdachiHJWNOO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AdachiPHOOAMC24,
author = {Masaki Adachi and
Brady Planden and
David A. Howey and
Michael A. Osborne and
Sebastian Orbell and
Natalia Ares and
Krikamol Muandet and
Siu Lun Chau},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Looping in the Human: Collaborative and Explainable Bayesian Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {505--513},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/adachi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AdachiPHOOAMC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AdibiF0KPPHM24,
author = {Arman Adibi and
Nicol{\`{o}} Dal Fabbro and
Luca Schenato and
Sanjeev R. Kulkarni and
H. Vincent Poor and
George J. Pappas and
Hamed Hassani and
Aritra Mitra},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Approximation with Delayed Updates: Finite-Time Rates under
Markovian Sampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2746--2754},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/adibi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AdibiF0KPPHM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AghbalouSP24,
author = {Anass Aghbalou and
Anne Sabourin and
Fran{\c{c}}ois Portier},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sharp error bounds for imbalanced classification: how many examples
in the minority class?},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {838--846},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/aghbalou24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AghbalouSP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AhmadBLd24,
author = {Tamim El Ahmad and
Luc Brogat{-}Motte and
Pierre Laforgue and
Florence d'Alch{\'{e}}{-}Buc},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sketch In, Sketch Out: Accelerating both Learning and Inference for
Structured Prediction with Kernels},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {109--117},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/el-ahmad24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AhmadBLd24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AhmadiBMS24,
author = {Saba Ahmadi and
Avrim Blum and
Omar Montasser and
Kevin M. Stangl},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Agnostic Multi-Robust Learning using {ERM}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2242--2250},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ahmadi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AhmadiBMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AhmadianDEL24,
author = {Amirhossein Ahmadian and
Yifan Ding and
Gabriel Eilertsen and
Fredrik Lindsten},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Unsupervised Novelty Detection in Pretrained Representation Space
with Locally Adapted Likelihood Ratio},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {874--882},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ahmadian24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AhmadianDEL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AhmedG24,
author = {Maheed H. Ahmed and
Mahsa Ghasemi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent
Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2755--2763},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/h-ahmed24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AhmedG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AhujaMW24,
author = {Kartik Ahuja and
Amin Mansouri and
Yixin Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-Domain Causal Representation Learning via Weak Distributional
Invariances},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {865--873},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ahuja24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AhujaMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Alacaoglu024,
author = {Ahmet Alacaoglu and
Stephen J. Wright},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Complexity of Single Loop Algorithms for Nonlinear Programming with
Stochastic Objective and Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4627--4635},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/alacaoglu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Alacaoglu024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AlamRB0H24,
author = {Mohammad Mahmudul Alam and
Edward Raff and
Stella Biderman and
Tim Oates and
James Holt},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Holographic Global Convolutional Networks for Long-Range Prediction
Tasks in Malware Detection},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4042--4050},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mahmudul-alam24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AlamRB0H24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AlizadehBGJKL24,
author = {Shima Alizadeh and
Aniruddha Bhargava and
Karthick Gopalswamy and
Lalit Jain and
Branislav Kveton and
Ge Liu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Pessimistic Off-Policy Multi-Objective Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2980--2988},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/alizadeh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AlizadehBGJKL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AllouahGHV24,
author = {Youssef Allouah and
Rachid Guerraoui and
L{\^{e}}{-}Nguy{\^{e}}n Hoang and
Oscar Villemaud},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust Sparse Voting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {991--999},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/allouah24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AllouahGHV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Amagata24,
author = {Daichi Amagata},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fair k-center Clustering with Outliers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {10--18},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/amagata24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Amagata24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AmirazKN24,
author = {Chen Amiraz and
Robert Krauthgamer and
Boaz Nadler},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Recovery Guarantees for Distributed-OMP},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {802--810},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/amiraz24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AmirazKN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Ananthakrishnan24,
author = {Nivasini Ananthakrishnan and
Stephen Bates and
Michael I. Jordan and
Nika Haghtalab},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Delegating Data Collection in Decentralized Machine Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {478--486},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ananthakrishnan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Ananthakrishnan24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AndrewWC24,
author = {Ethan B. Andrew and
David Westhead and
Luisa Cutillo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {GmGM: a fast multi-axis Gaussian graphical model},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2053--2061},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/b-andrew24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AndrewWC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AryaRG24,
author = {Shivvrat Arya and
Tahrima Rahman and
Vibhav Gogate},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning to Solve the Constrained Most Probable Explanation Task in
Probabilistic Graphical Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2791--2799},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/arya24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AryaRG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AryaXG24,
author = {Shivvrat Arya and
Yu Xiang and
Vibhav Gogate},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Deep Dependency Networks and Advanced Inference Schemes for Multi-Label
Classification},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2818--2826},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/arya24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AryaXG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AuddyZRM24,
author = {Arnab Auddy and
Haolin Zou and
Kamiar Rahnama Rad and
Arian Maleki},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Approximate Leave-one-out Cross Validation for Regression with {\(\mathscr{l}\)}\({}_{\mbox{1}}\)
Regularizers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2377--2385},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/auddy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AuddyZRM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/AzarGPMRVC24,
author = {Mohammad Gheshlaghi Azar and
Zhaohan Daniel Guo and
Bilal Piot and
R{\'{e}}mi Munos and
Mark Rowland and
Michal Valko and
Daniele Calandriello},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A General Theoretical Paradigm to Understand Learning from Human Preferences},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4447--4455},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gheshlaghi-azar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/AzarGPMRVC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BacchiocchiGMMR24,
author = {Francesco Bacchiocchi and
Gianmarco Genalti and
Davide Maran and
Marco Mussi and
Marcello Restelli and
Nicola Gatti and
Alberto Maria Metelli},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Autoregressive Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {937--945},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bacchiocchi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BacchiocchiGMMR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BakerWBSW24,
author = {Justin M. Baker and
Qingsong Wang and
Martin Berzins and
Thomas Strohmer and
Bao Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Monotone Operator Theory-Inspired Message Passing for Learning Long-Range
Interaction on Graphs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2233--2241},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/m-baker24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BakerWBSW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BansakPR24,
author = {Kirk C. Bansak and
Elisabeth Paulson and
Dominik Rothenh{\"{a}}usler},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Under Random Distributional Shifts},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3943--3951},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/c-bansak24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BansakPR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BaoWH24,
author = {Wenxuan Bao and
Jun Wu and
Jingrui He},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{BOBA:} Byzantine-Robust Federated Learning with Label Skewness},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {892--900},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BaoWH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BarrainkuaGLQ24,
author = {Ainhize Barrainkua and
Paula Gordaliza and
Jose A. Lozano and
Novi Quadrianto},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Uncertainty Matters: Stable Conclusions under Unstable Assessment
of Fairness Results},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1198--1206},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/barrainkua24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BarrainkuaGLQ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BartolomeisMDY24,
author = {Piersilvio De Bartolomeis and
Javier Abad Martinez and
Konstantin Donhauser and
Fanny Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Hidden yet quantifiable: {A} lower bound for confounding strength
using randomized trials},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1045--1053},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/de-bartolomeis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BartolomeisMDY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BateniCEL24,
author = {MohammadHossein Bateni and
Vincent Cohen{-}Addad and
Alessandro Epasto and
Silvio Lattanzi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Scalable Algorithm for Individually Fair k-Means Clustering},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3151--3159},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bateni24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BateniCEL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BattashWL24,
author = {Barak Battash and
Lior Wolf and
Ofir Lindenbaum},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Revisiting the Noise Model of Stochastic Gradient Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4780--4788},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/battash24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BattashWL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BattellaniMT24,
author = {Paolo Battellani and
Alberto Maria Metelli and
Francesco Trov{\`{o}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Dissimilarity Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3637--3645},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/battellani24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BattellaniMT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BattenHL24,
author = {Ben Batten and
Mehran Hosseini and
Alessio Lomuscio},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Tight Verification of Probabilistic Robustness in Bayesian Neural
Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4906--4914},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/batten24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BattenHL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BaudryMMRP24,
author = {Dorian Baudry and
Nadav Merlis and
Mathieu Benjamin Molina and
Hugo Richard and
Vianney Perchet},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-armed bandits with guaranteed revenue per arm},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {379--387},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/baudry24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BaudryMMRP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BenardNJ24,
author = {Cl{\'{e}}ment B{\'{e}}nard and
Jeffrey N{\"{a}}f and
Julie Josse},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {MMD-based Variable Importance for Distributional Random Forest},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1324--1332},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/benard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BenardNJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BengsHH24,
author = {Viktor Bengs and
Bj{\"{o}}rn Haddenhorst and
Eyke H{\"{u}}llermeier},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Identifying Copeland Winners in Dueling Bandits with Indifferences},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {226--234},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bengs24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BengsHH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Bernasconi0T24,
author = {Martino Bernasconi and
Alberto Marchesi and
Francesco Trov{\`{o}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum
Sequential Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2152--2160},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bernasconi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Bernasconi0T24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BertaBJ24,
author = {Eugene Berta and
Francis R. Bach and
Michael I. Jordan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Classifier Calibration with ROC-Regularized Isotonic Regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1972--1980},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/berta24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BertaBJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BilajDM24,
author = {Steven Bilaj and
Sofien Dhouib and
Setareh Maghsudi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Meta Learning in Bandits within shared affine Subspaces},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {523--531},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bilaj24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BilajDM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Biron-LattesSSC24,
author = {Miguel Biron{-}Lattes and
Nikola Surjanovic and
Saifuddin Syed and
Trevor Campbell and
Alexandre Bouchard{-}C{\^{o}}t{\'{e}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4600--4608},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/biron-lattes24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Biron-LattesSSC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BlaserLW24,
author = {Ethan Blaser and
Chuanhao Li and
Hongning Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Federated Linear Contextual Bandits with Heterogeneous Clients},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {631--639},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/blaser24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BlaserLW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BlumOSS24,
author = {Avrim Blum and
Princewill Okoroafor and
Aadirupa Saha and
Kevin M. Stangl},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Vulnerability of Fairness Constrained Learning to Malicious
Noise},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4096--4104},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/blum24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BlumOSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BojkovicAMGX24,
author = {Velibor Bojkovic and
Srinivas Anumasa and
Giulia De Masi and
Bin Gu and
Huan Xiong},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Data Driven Threshold and Potential Initialization for Spiking Neural
Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4771--4779},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bojkovic24a.html},
timestamp = {Fri, 14 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BojkovicAMGX24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BoroojenyTS24,
author = {Ali Ebrahimpour Boroojeny and
Matus Telgarsky and
Hari Sundaram},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Spectrum Extraction and Clipping for Implicitly Linear Layers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2971--2979},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ebrahimpour-boroojeny24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BoroojenyTS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BraunMK24,
author = {Steven Braun and
Martin Mundt and
Kristian Kersting},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Deep Classifier Mimicry without Data Access},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4762--4770},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/braun24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BraunMK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BraunS24,
author = {Guillaume Braun and
Masashi Sugiyama},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{VEC-SBM:} Optimal Community Detection with Vectorial Edges Covariates},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {532--540},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/braun24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BraunS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BuchLG24,
author = {Amanda M. Buch and
Conor Liston and
Logan Grosenick},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Simple and scalable algorithms for cluster-aware precision medicine},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {136--144},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/m-buch24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BuchLG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/BuiL24,
author = {Ha Manh Bui and
Anqi Liu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Density-Regression: Efficient and Distance-aware Deep Regressor for
Uncertainty Estimation under Distribution Shifts},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2998--3006},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/manh-bui24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/BuiL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ByunSOLW24,
author = {Yewon Byun and
Dylan Sam and
Michael Oberst and
Zachary C. Lipton and
Bryan Wilder},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Auditing Fairness under Unobserved Confounding},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4339--4347},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/byun24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ByunSOLW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CabannnesB24,
author = {Vivien A Cabannnes and
Francis Bach},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The Galerkin method beats Graph-Based Approaches for Spectral Algorithms},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {451--459},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/a-cabannnes24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CabannnesB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Cao0024,
author = {Yuzhou Cao and
Lei Feng and
Bo An},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Consistent Hierarchical Classification with {A} Generalized Metric},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4825--4833},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/cao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Cao0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CarlssonBJD24,
author = {Emil Carlsson and
Debabrota Basu and
Fredrik D. Johansson and
Devdatt P. Dubhashi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Pure Exploration in Bandits with Linear Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {334--342},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/carlsson24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CarlssonBJD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CarmonYL24,
author = {Daniel Carmon and
Amir Yehudayoff and
Roi Livni},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The sample complexity of ERMs in stochastic convex optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3799--3807},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/carmon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CarmonYL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CarrPP24,
author = {Jonathan Cola{\c{c}}o Carr and
Prakash Panangaden and
Doina Precup},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Conditions on Preference Relations that Guarantee the Existence of
Optimal Policies},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3916--3924},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/colaco-carr24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CarrPP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CartonLG24,
author = {Florence Carton and
Robin Louiset and
Pietro Gori},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Double InfoGAN for Contrastive Analysis},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {172--180},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/carton24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CartonLG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CeniCS0SBG24,
author = {Andrea Ceni and
Andrea Cossu and
Maximilian W. St{\"{o}}lzle and
Jingyue Liu and
Cosimo Della Santina and
Davide Bacciu and
Claudio Gallicchio},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Random Oscillators Network for Time Series Processing},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4807--4815},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ceni24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CeniCS0SBG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChaeKKLLHMKRL24,
author = {Jinyeong Chae and
Donghwa Kim and
Kwanseok Kim and
Doyeon Lee and
Sangho Lee and
Seongsu Ha and
Jonghwan Mun and
Wooyoung Kang and
Byungseok Roh and
Joonseok Lee},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Towards a Complete Benchmark on Video Moment Localization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4168--4176},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chae24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChaeKKLLHMKRL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChakrabortyCD24,
author = {Abhinav Chakraborty and
Anirban Chatterjee and
Abhinandan Dalal},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2692--2700},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chakraborty24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChakrabortyCD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChandramoorthyS24,
author = {Nisha Chandramoorthy and
Florian T. Schaefer and
Youssef M. Marzouk},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Score Operator Newton transport},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3349--3357},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chandramoorthy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChandramoorthyS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChangBS24,
author = {Yuxin Chang and
Alex J. Boyd and
Padhraic Smyth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Probabilistic Modeling for Sequences of Sets in Continuous-Time},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4357--4365},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChangBS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChaoukiRB24,
author = {Ayman Chaouki and
Jesse Read and
Albert Bifet},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online Learning of Decision Trees with Thompson Sampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2944--2952},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chaouki24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChaoukiRB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChatterjeeTB24,
author = {Sagnik Chatterjee and
SAPV Tharrmashastha and
Debajyoti Bera},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Quantum Agnostic Improper Learning of Decision Trees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {514--522},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chatterjee24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChatterjeeTB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChauhanZGMC24,
author = {Vinod Kumar Chauhan and
Jiandong Zhou and
Ghadeer O. Ghosheh and
Soheila Molaei and
David A. Clifton},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Dynamic Inter-treatment Information Sharing for Individualized Treatment
Effects Estimation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3529--3537},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chauhan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChauhanZGMC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenC24,
author = {Naitong Chen and
Trevor Campbell},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Coreset Markov chain Monte Carlo},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4438--4446},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24f.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenCBRO24,
author = {Wei{-}Ning Chen and
Graham Cormode and
Akash Bharadwaj and
Peter Romov and
Ayfer {\"{O}}zg{\"{u}}r},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Federated Experiment Design under Distributed Differential Privacy},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2458--2466},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenCBRO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenCS24,
author = {Sijin Chen and
Xiwei Cheng and
Anthony Man{-}Cho So},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Non-Convex Joint Community Detection and Group Synchronization via
Generalized Power Method},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2899--2907},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenCS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenLC24,
author = {Sijin Chen and
Zhize Li and
Yuejie Chi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Escaping Saddle Points in Heterogeneous Federated Learning via Distributed
{SGD} with Communication Compression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2701--2709},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenLC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenWB24,
author = {Haobo Chen and
Gregory W. Wornell and
Yuheng Bu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Gibbs-Based Information Criteria and the Over-Parameterized Regime},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4501--4509},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24g.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenWB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenXJS24,
author = {He Chen and
Haochen Xu and
Rujun Jiang and
Anthony Man{-}Cho So},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Lower-level Duality Based Reformulation and Majorization Minimization
Algorithm for Hyperparameter Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {784--792},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenXJS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChenYL24,
author = {Lesi Chen and
Haishan Ye and
Luo Luo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave
Minimax Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1990--1998},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/chen24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChenYL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChengZ0024,
author = {Min Cheng and
Ruida Zhou and
P. R. Kumar and
Chao Tian},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Provable Policy Gradient Methods for Average-Reward Markov Potential
Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4699--4707},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/cheng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChengZ0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChooSU24,
author = {Davin Choo and
Kirankumar Shiragur and
Caroline Uhler},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Causal Discovery under Off-Target Interventions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1621--1629},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/choo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChooSU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ChoromanskiLLDL24,
author = {Krzysztof Choromanski and
Shanda Li and
Valerii Likhosherstov and
Kumar Avinava Dubey and
Shengjie Luo and
Di He and
Yiming Yang and
Tam{\'{a}}s Sarl{\'{o}}s and
Thomas Weingarten and
Adrian Weller},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning a Fourier Transform for Linear Relative Positional Encodings
in Transformers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2278--2286},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/choromanski24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ChoromanskiLLDL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Chowdhury0N24,
author = {Sayak Ray Chowdhury and
Xingyu Zhou and
Nagarajan Natarajan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Differentially Private Reward Estimation with Preference Feedback},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4843--4851},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ray-chowdhury24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Chowdhury0N24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CompagnoniOKPL24,
author = {Enea Monzio Compagnoni and
Antonio Orvieto and
Hans Kersting and
Frank Proske and
Aur{\'{e}}lien Lucchi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {SDEs for Minimax Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4834--4842},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/monzio-compagnoni24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CompagnoniOKPL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CosierIZFWDTB24,
author = {Lucas Cosier and
Rares Iordan and
Sicelukwanda N. T. Zwane and
Giovanni Franzese and
James T. Wilson and
Marc Peter Deisenroth and
Alexander Terenin and
Yasemin Bekiroglu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Unifying Variational Framework for Gaussian Process Motion Planning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1315--1323},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/c-cosier24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CosierIZFWDTB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CousinsKV24,
author = {Cyrus Cousins and
I. Elizabeth Kumar and
Suresh Venkatasubramanian},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair
Training on Shared Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4573--4581},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/cousins24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CousinsKV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CreponGK24,
author = {{\'{E}}lise Crepon and
Aur{\'{e}}lien Garivier and
Wouter M. Koolen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sequential learning of the Pareto front for multi-objective bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3583--3591},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/crepon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CreponGK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CuevasS24,
author = {Felip Guimer{\`{a}} Cuevas and
Helmut Schmid},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust Non-linear Normalization of Heterogeneous Feature Distributions
with Adaptive Tanh-Estimators},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {406--414},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/guimera-cuevas24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CuevasS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CuiWGTJ24,
author = {Zijun Cui and
Hanjing Wang and
Tian Gao and
Kartik Talamadupula and
Qiang Ji},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Theory-guided Message Passing Neural Network for Probabilistic Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {667--675},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/cui24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CuiWGTJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/CundyDE24,
author = {Chris Cundy and
Rishi Desai and
Stefano Ermon},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Privacy-Constrained Policies via Mutual Information Regularized Policy
Gradients},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2809--2817},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/j-cundy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/CundyDE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Dagreou0VA24,
author = {Mathieu Dagr{\'{e}}ou and
Thomas Moreau and
Samuel Vaiter and
Pierre Ablin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk
Minimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {82--90},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dagreou24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Dagreou0VA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DaiFJHP24,
author = {Jessica Dai and
Bailey Flanigan and
Meena Jagadeesan and
Nika Haghtalab and
Chara Podimata},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Can Probabilistic Feedback Drive User Impacts in Online Platforms?},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2512--2520},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dai24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DaiFJHP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DaiGL24,
author = {Zongyu Dai and
Emily J. Getzen and
Qi Long},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{SADI:} Similarity-Aware Diffusion Model-Based Imputation for Incomplete
Temporal {EHR} Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4195--4203},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dai24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DaiGL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DaiNZG024,
author = {Haoyue Dai and
Ignavier Ng and
Yujia Zheng and
Zhengqing Gao and
Kun Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Local Causal Discovery with Linear non-Gaussian Cyclic Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {154--162},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dai24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DaiNZG024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DalirrooyfardFB24,
author = {Mina Dalirrooyfard and
Elaheh Fata and
Majid Behbahani and
Yuriy Nevmyvaka},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Graph Partitioning with a Move Budget},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {568--576},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dalirrooyfard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DalirrooyfardFB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DannGP24,
author = {Christoph Dann and
Claudio Gentile and
Aldo Pacchiano},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Data-Driven Online Model Selection With Regret Guarantees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1531--1539},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dann24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DannGP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DePaviaTV24,
author = {Adela Frances DePavia and
Erasmo Tani and
Ali Vakilian},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning-Based Algorithms for Graph Searching Problems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {928--936},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/depavia24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DePaviaTV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DeanCRMF24,
author = {Sarah Dean and
Mihaela Curmei and
Lillian J. Ratliff and
Jamie Morgenstern and
Maryam Fazel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Emergent specialization from participation dynamics and multi-learner
retraining},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {343--351},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dean24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DeanCRMF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DebSB24,
author = {Rohan Deb and
Aadirupa Saha and
Arindam Banerjee},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Think Before You Duel: Understanding Complexities of Preference Learning
under Constrained Resources},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4546--4554},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/deb24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DebSB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DemetciTRS24,
author = {Pinar Demetci and
Quang Huy Tran and
Ievgen Redko and
Ritambhara Singh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Breaking isometric ties and introducing priors in Gromov-Wasserstein
distances},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {298--306},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/demetci24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DemetciTRS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DemirelBHOPS24,
author = {Ilker Demirel and
Edward De Brouwer and
Zeshan M. Hussain and
Michael Oberst and
Anthony Philippakis and
David A. Sontag},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Benchmarking Observational Studies with Experimental Data under Right-Censoring},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4285--4293},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/demirel24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DemirelBHOPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DengCZL24,
author = {Junze Deng and
Yuan Cheng and
Shaofeng Zou and
Yingbin Liang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sample Complexity Characterization for Linear Contextual MDPs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1693--1701},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/deng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DengCZL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DengHZM24,
author = {Yuyang Deng and
Junyuan Hong and
Jiayu Zhou and
Mehrdad Mahdavi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Generalization Ability of Unsupervised Pretraining},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4519--4527},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/deng24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DengHZM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DeshpandeMK24,
author = {Shachi Deshpande and
Charles Marx and
Volodymyr Kuleshov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online Calibrated and Conformal Prediction Improves Bayesian Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1450--1458},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/deshpande24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DeshpandeMK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DheurT24,
author = {Victor Dheur and
Souhaib Ben Taieb},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Probabilistic Calibration by Design for Neural Network Regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3133--3141},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dheur24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DheurT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DhillonDR24,
author = {Guneet S. Dhillon and
George Deligiannidis and
Tom Rainforth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Expected Size of Conformal Prediction Sets},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1549--1557},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dhillon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DhillonDR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DiamantHBS24,
author = {Nathaniel Diamant and
Ehsan Hajiramezanali and
Tommaso Biancalani and
Gabriele Scalia},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Conformalized Deep Splines for Optimal and Efficient Prediction Sets},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1657--1665},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/diamant24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DiamantHBS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DiluviBC24,
author = {Gian Carlo Diluvi and
Benjamin Bloem{-}Reddy and
Trevor Campbell},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Mixed variational flows for discrete variables},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2431--2439},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/c-diluvi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DiluviBC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DimliogluC24,
author = {Tolga Dimlioglu and
Anna Choromanska},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{GRAWA:} Gradient-based Weighted Averaging for Distributed Training
of Deep Learning Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2251--2259},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dimlioglu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DimliogluC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DingHR24,
author = {Dongsheng Ding and
Zhengyan Huan and
Alejandro Ribeiro},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Resilient Constrained Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3412--3420},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ding24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DingHR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DoCLZT24,
author = {Nguyen Hoang Khoi Do and
Tanmoy Chowdhury and
Chen Ling and
Liang Zhao and
My T. Thai},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence
Maximization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2296--2304},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hoang-khoi-do24a.html},
timestamp = {Thu, 23 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DoCLZT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DoldRSD24,
author = {Daniel Dold and
David R{\"{u}}gamer and
Beate Sick and
Oliver D{\"{u}}rr},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Bayesian Semi-structured Subspace Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1819--1827},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dold24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DoldRSD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Dong0Y24,
author = {Jing Dong and
Baoxiang Wang and
Yaoliang Yu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Convergence to Nash Equilibrium and No-regret Guarantee in (Markov)
Potential Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2044--2052},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Dong0Y24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DonhauserLSBHY24,
author = {Konstantin Donhauser and
Johan Lokna and
Amartya Sanyal and
March Boedihardjo and
Robert H{\"{o}}nig and
Fanny Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Certified private data release for sparse Lipschitz functions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1396--1404},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/donhauser24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DonhauserLSBHY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DraxlerSZRK24,
author = {Felix Draxler and
Peter Sorrenson and
Lea Zimmermann and
Armand Rousselot and
Ullrich K{\"{o}}the},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Free-form Flows: Make Any Architecture a Normalizing Flow},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2197--2205},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/draxler24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DraxlerSZRK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DuarteVK24,
author = {Alejandro D. de la Concha Duarte and
Nicolas Vayatis and
Argyris Kalogeratos},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online non-parametric likelihood-ratio estimation by Pearson-divergence
functional minimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1189--1197},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/concha-duarte24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DuarteVK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DupuisT24,
author = {Xavier Dupuis and
Patrick Tardivel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The Solution Path of {SLOPE}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {775--783},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dupuis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DupuisT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DuyLT24,
author = {Vo Nguyen Le Duy and
Hsuan{-}Tien Lin and
Ichiro Takeuchi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{CAD-DA:} Controllable Anomaly Detection after Domain Adaptation by
Statistical Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1828--1836},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nguyen-le-duy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DuyLT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/DvurechenskyZ24,
author = {Pavel E. Dvurechensky and
Jia{-}Jie Zhu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Analysis of Kernel Mirror Prox for Measure Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2350--2358},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/dvurechensky24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/DvurechenskyZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EichAK24,
author = {Yannick Eich and
Bastian Alt and
Heinz Koeppl},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Approximate Control for Continuous-Time POMDPs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3160--3168},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/eich24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EichAK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EldowaP24,
author = {Khaled Eldowa and
Andrea Paudice},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {General Tail Bounds for Non-Smooth Stochastic Mirror Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3205--3213},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/eldowa24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EldowaP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EliasofHTS24,
author = {Moshe Eliasof and
Eldad Haber and
Eran Treister and
Carola{-}Bibiane Sch{\"{o}}nlieb},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On The Temporal Domain of Differential Equation Inspired Graph Neural
Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1792--1800},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/eliasof24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EliasofHTS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EmmanouilidisVL24,
author = {Konstantinos Emmanouilidis and
Ren{\'{e}} Vidal and
Nicolas Loizou},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Extragradient with Random Reshuffling: Improved Convergence
for Variational Inequalities},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3682--3690},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/emmanouilidis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EmmanouilidisVL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EnG24,
author = {Qing En and
Yuhong Guo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1441--1449},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/en24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EnG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EngelmannPTTC24,
author = {Jan P. Engelmann and
Alessandro Palma and
Jakub M. Tomczak and
Fabian J. Theis and
Francesco Paolo Casale},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Mixed Models with Multiple Instance Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3664--3672},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/p-engelmann24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EngelmannPTTC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ErichsonLXUCM24,
author = {N. Benjamin Erichson and
Soon Hoe Lim and
Winnie Xu and
Francisco Utrera and
Ziang Cao and
Michael W. Mahoney},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {NoisyMix: Boosting Model Robustness to Common Corruptions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4033--4041},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/erichson24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ErichsonLXUCM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EsakiNKTK24,
author = {Yasushi Esaki and
Akihiro Nakamura and
Keisuke Kawano and
Ryoko Tokuhisa and
Takuro Kutsuna},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Accuracy-Preserving Calibration via Statistical Modeling on Probability
Simplex},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1666--1674},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/esaki24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EsakiNKTK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/EvenKM24,
author = {Mathieu Even and
Anastasia Koloskova and
Laurent Massouli{\'{e}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Asynchronous {SGD} on Graphs: a Unified Framework for Asynchronous
Decentralized and Federated Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {64--72},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/even24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/EvenKM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FallerVMLJ24,
author = {Philipp Michael Faller and
Leena C. Vankadara and
Atalanti{-}Anastasia Mastakouri and
Francesco Locatello and
Dominik Janzing},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Self-Compatibility: Evaluating Causal Discovery without Ground Truth},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4132--4140},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/m-faller24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FallerVMLJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FanHZ0WXZ24,
author = {Junyi Fan and
Yuxuan Han and
Jialin Zeng and
Jian{-}Feng Cai and
Yang Wang and
Yang Xiang and
Jiheng Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{RL} in Markov Games with Independent Function Approximation: Improved
Sample Complexity Bound under the Local Access Model},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2035--2043},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/fan24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FanHZ0WXZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FanSC024,
author = {Yajing Fan and
Wanli Shi and
Yi Chang and
Bin Gu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fast and Adversarial Robust Kernelized {SDU} Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1153--1161},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/fan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FanSC024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FatkhullinH24,
author = {Ilyas Fatkhullin and
Niao He},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3493--3501},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/fatkhullin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FatkhullinH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FengGPPPS24,
author = {Jean Feng and
Alexej Gossmann and
Romain Pirracchio and
Nicholas Petrick and
Gene Pennello and
Berkman Sahiner},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Is this model reliable for everyone? Testing for strong calibration},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {181--189},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/feng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FengGPPPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FengGPPSP24,
author = {Jean Feng and
Alexej Gossmann and
Gene Pennello and
Nicholas Petrick and
Berkman Sahiner and
Romain Pirracchio},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Monitoring machine learning-based risk prediction algorithms in the
presence of performativity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {919--927},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/feng24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FengGPPSP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FerbachGGD24,
author = {Damien Ferbach and
Baptiste Goujaud and
Gauthier Gidel and
Aymeric Dieuleveut},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Proving Linear Mode Connectivity of Neural Networks via Optimal Transport},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3853--3861},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ferbach24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FerbachGGD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FlachSS24,
author = {Boris Flach and
Dmitrij Schlesinger and
Alexander Shekhovtsov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Symmetric Equilibrium Learning of VAEs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3214--3222},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/flach24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FlachSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FokkemaGE24,
author = {Hidde Fokkema and
Damien Garreau and
Tim van Erven},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The Risks of Recourse in Binary Classification},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {550--558},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/fokkema24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FokkemaGE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FongM24,
author = {Kei Sen Fong and
Mehul Motani},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level
Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2890--2898},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sen-fong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FongM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FraboniWSVKL24,
author = {Yann Fraboni and
Martin Van Waerebeke and
Kevin Scaman and
Richard Vidal and
Laetitia Kameni and
Marco Lorenzi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{SIFU:} Sequential Informed Federated Unlearning for Efficient and
Provable Client Unlearning in Federated Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3457--3465},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/fraboni24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FraboniWSVKL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FrickKM24,
author = {Susanne Frick and
Amer Krivosija and
Alexander Munteanu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Scalable Learning of Item Response Theory Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1234--1242},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/frick24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FrickKM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FrutosOLM24,
author = {Jos{\'{e}} Manuel de Frutos and
Pablo M. Olmos and
Manuel Alberto Vazquez Lopez and
Joaqu{\'{\i}}n M{\'{\i}}guez},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Training Implicit Generative Models via an Invariant Statistical Loss},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2026--2034},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/frutos24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FrutosOLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FuentesMMMS24,
author = {Miguel Fuentes and
Brett C. Mullins and
Ryan McKenna and
Gerome Miklau and
Daniel Sheldon},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Joint Selection: Adaptively Incorporating Public Information for Private
Synthetic Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2404--2412},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/fuentes24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FuentesMMMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/FutamiI24,
author = {Futoshi Futami and
Tomoharu Iwata},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Information-theoretic Analysis of Bayesian Test Data Sensitivity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1099--1107},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/futami24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/FutamiI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GabbianelliNPO24,
author = {Germano Gabbianelli and
Gergely Neu and
Matteo Papini and
Nneka Okolo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Offline Primal-Dual Reinforcement Learning for Linear MDPs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3169--3177},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gabbianelli24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GabbianelliNPO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GalaCPVQ24,
author = {Gennaro Gala and
Cassio P. de Campos and
Robert Peharz and
Antonio Vergari and
Erik Quaeghebeur},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Probabilistic Integral Circuits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2143--2151},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gala24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GalaCPVQ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GanKLM24,
author = {Kyra Gan and
Esmaeil Keyvanshokooh and
Xueqing Liu and
Susan A. Murphy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Contextual Bandits with Budgeted Information Reveal},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3970--3978},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GanKLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Gao24,
author = {Hongchang Gao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Decentralized Multi-Level Compositional Optimization Algorithms with
Level-Independent Convergence Rate},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4402--4410},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gao24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Gao24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GaoWZ24,
author = {Daiqi Gao and
Yuanjia Wang and
Donglin Zeng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fusing Individualized Treatment Rules Using Secondary Outcomes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {712--720},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GaoWZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Garcia-Carrasco24,
author = {Jorge Garc{\'{\i}}a{-}Carrasco and
Alejandro Mat{\'{e}} and
Juan C. Trujillo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {How does {GPT-2} Predict Acronyms? Extracting and Understanding a
Circuit via Mechanistic Interpretability},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3322--3330},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/garcia-carrasco24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Garcia-Carrasco24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GargZZ24,
author = {Jhanvi Garg and
Xianyang Zhang and
Quan Zhou},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Soft-constrained Schr{\"{o}}dinger Bridge: a Stochastic Control
Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4429--4437},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/garg24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GargZZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GazinBR24,
author = {Ulysse Gazin and
Gilles Blanchard and
{\'{E}}tienne Roquain},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Transductive conformal inference with adaptive scores},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1504--1512},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gazin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GazinBR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Ghosh0S24,
author = {Arnob Ghosh and
Xingyu Zhou and
Ness B. Shroff},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Towards Achieving Sub-linear Regret and Hard Constraint Violation
in Model-free {RL}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1054--1062},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ghosh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Ghosh0S24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GhoshBA24,
author = {Sanmitra Ghosh and
Paul Birrell and
Daniela De Angelis},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sample-efficient neural likelihood-free Bayesian inference of implicit
HMMs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4888--4896},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ghosh24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GhoshBA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GiaffarBA24,
author = {Hamza Giaffar and
Camille E. Rull{\'{a}}n Bux{\'{o}} and
Mikio Aoi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The Effective Number of Shared Dimensions Between Paired Datasets},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4249--4257},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/giaffar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GiaffarBA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Gong0X024,
author = {Yanxiang Gong and
Zhiwei Xie and
Mei Xie and
Xin Ma},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Testing Generated Distributions in GANs to Penalize Mode Collapse},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {442--450},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Gong0X024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GongUZI24,
author = {Ziyu Gong and
Ben Usman and
Han Zhao and
David I. Inouye},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Towards Practical Non-Adversarial Distribution Matching},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4276--4284},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gong24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GongUZI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Granese0P24,
author = {Federica Granese and
Marco Romanelli and
Pablo Piantanida},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimal Zero-Shot Detector for Multi-Armed Attacks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2467--2475},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/granese24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Granese0P24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GrosseFGH24,
author = {Julia Grosse and
Rahel Fischer and
Roman Garnett and
Philipp Hennig},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Greedy Approximation for k-Determinantal Point Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3052--3060},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/grosse24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GrosseFGH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GruffazKDG24,
author = {Samuel Gruffaz and
Kyurae Kim and
Alain Durmus and
Jacob Gardner},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Approximation with Biased {MCMC} for Expectation Maximization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2332--2340},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gruffaz24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GruffazKDG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GuilmeauBCE24,
author = {Thomas Guilmeau and
Nicola Branchini and
Emilie Chouzenoux and
Victor Elvira},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive importance sampling for heavy-tailed distributions via {\(\alpha\)}-divergence
minimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3871--3879},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/guilmeau24a.html},
timestamp = {Mon, 27 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GuilmeauBCE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GuoLL24,
author = {Yinglong Guo and
Shaohan Li and
Gilad Lerman},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The effect of Leaky ReLUs on the training and generalization of overparameterized
networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4393--4401},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/guo24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GuoLL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GuoLQAF24,
author = {Zhongliang Guo and
Weiye Li and
Yifei Qian and
Ognjen Arandjelovic and
Lei Fang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A White-Box False Positive Adversarial Attack Method on Contrastive
Loss Based Offline Handwritten Signature Verification Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {901--909},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/guo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GuoLQAF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GuoXM24,
author = {Yongyi Guo and
Ziping Xu and
Susan A. Murphy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online learning in bandits with predicted context},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2215--2223},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/guo24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GuoXM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/GuptaSM24,
author = {Shubham Gupta and
Peter W. J. Staar and
Christian de Sainte Marie},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Clustering Items From Adaptively Collected Inconsistent Feedback},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {604--612},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/gupta24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/GuptaSM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HaanCB24,
author = {Pim de Haan and
Taco Cohen and
Johann Brehmer},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Euclidean, Projective, Conformal: Choosing a Geometric Algebra for
Equivariant Transformers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3088--3096},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/haan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HaanCB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HaaslerF24,
author = {Isabel Haasler and
Pascal Frossard},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Bures-Wasserstein Means of Graphs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1873--1881},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/haasler24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HaaslerF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HalabiTNV24,
author = {Marwa El Halabi and
Jakub Tarnawski and
Ashkan Norouzi{-}Fard and
Thuy{-}Duong Vuong},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fairness in Submodular Maximization over a Matroid Constraint},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1027--1035},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/el-halabi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HalabiTNV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Haldar0S24,
author = {Rajdeep Haldar and
Yue Xing and
Qifan Song},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1090--1098},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/haldar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Haldar0S24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HalvaSTH24,
author = {Hermanni H{\"{a}}lv{\"{a}} and
Jonathan So and
Richard E. Turner and
Aapo Hyv{\"{a}}rinen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Identifiable Feature Learning for Spatial Data with Nonlinear {ICA}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3331--3339},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/halva24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HalvaSTH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HanJK24,
author = {Sangil Han and
Sungkyu Jung and
Kyoowon Kim},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust {SVD} Made Easy: {A} fast and reliable algorithm for large-scale
data analysis},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1765--1773},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/han24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HanJK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HanXG24,
author = {Yujin Han and
Mingwenchan Xu and
Leying Guan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Conformalized Semi-supervised Random Forest for Classification and
Abnormality Detection},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2881--2889},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/han24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HanXG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HandsSK24,
author = {Andrew R. Hands and
Tianyi Sun and
Risi Kondor},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {P-tensors: a General Framework for Higher Order Message Passing in
Subgraph Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {424--432},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/r-hands24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HandsSK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HannaK0F24,
author = {Osama A. Hanna and
Merve Karakas and
Lin Yang and
Christina Fragouli},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3898--3906},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/a-hanna24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HannaK0F24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HarizKAMA24,
author = {Kais Hariz and
Hachem Kadri and
St{\'{e}}phane Ayache and
Maher Moakher and
Thierry Arti{\`{e}}res},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Implicit Regularization in Deep Tucker Factorization: Low-Rankness
via Structured Sparsity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2359--2367},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hariz24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HarizKAMA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HaussmannLHKLKK24,
author = {Manuel Haussmann and
Tran Minh Son Le and
Viivi Halla{-}aho and
Samu Kurki and
Jussi Leinonen and
Miika Koskinen and
Samuel Kaski and
Harri L{\"{a}}hdesm{\"{a}}ki},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Estimating treatment effects from single-arm trials via latent-variable
modeling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2926--2934},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/haussmann24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HaussmannLHKLKK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HeSL24,
author = {Zelin He and
Ying Sun and
Runze Li},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional
Regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {703--711},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/he24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HeSL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HegazyLLD24,
author = {Mahmoud Hegazy and
R{\'{e}}mi Leluc and
Cheuk Ting Li and
Aymeric Dieuleveut},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Compression with Exact Error Distribution for Federated Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {613--621},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hegazy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HegazyLLD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HeidariAEG24,
author = {Marzi Heidari and
Abdullah Alchihabi and
Qing En and
Yuhong Guo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1369--1377},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/heidari24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HeidariAEG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HeidrichIA24,
author = {Holger S. G. Heidrich and
Jannik Irmai and
Bjoern Andres},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A 4-Approximation Algorithm for Min Max Correlation Clustering},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1945--1953},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/s-g-heidrich24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HeidrichIA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HellstromG24,
author = {Fredrik Hellstr{\"{o}}m and
Benjamin Guedj},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Comparing Comparators in Generalization Bounds},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {73--81},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hellstrom24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HellstromG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HendrikxMB24,
author = {Hadrien Hendrikx and
Paul Mangold and
Aur{\'{e}}lien Bellet},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The Relative Gaussian Mechanism and its Application to Private Gradient
Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3079--3087},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hendrikx24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HendrikxMB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HeoB24,
author = {Taemin Heo and
Chandrajit Bajaj},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sample Efficient Learning of Factored Embeddings of Tensor Fields},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4591--4599},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/heo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HeoB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HickeyHWPE24,
author = {Jimmy Hickey and
Ricardo Henao and
Daniel Wojdyla and
Michael J. Pencina and
Matthew Engelhard},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Discretization for Event PredicTion {(ADEPT)}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1351--1359},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hickey24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HickeyHWPE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HillMTGD24,
author = {Davin Hill and
Aria Masoomi and
Max Torop and
Sandesh Ghimire and
Jennifer G. Dy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Boundary-Aware Uncertainty for Feature Attribution Explainers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {55--63},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hill24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HillMTGD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Holland24,
author = {Matthew J. Holland},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust variance-regularized risk minimization with concomitant scaling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1144--1152},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/j-holland24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Holland24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HongLT24,
author = {Kihyuk Hong and
Yuhang Li and
Ambuj Tewari},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement
Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {280--288},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HongLT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HoodS24,
author = {John Hood and
Aaron J. Schein},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {The AL{\(\mathscr{l}\)}\({}_{\mbox{0}}\)CORE Tensor Decomposition
for Sparse Count Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4654--4662},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hood24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HoodS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HottiGL24,
author = {Alexandra Maria Hotti and
Lennart Alexander Van der Goten and
Jens Lagergren},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Benefits of Non-Linear Scale Parameterizations in Black Box Variational
Inference through Smoothness Results and Gradient Variance Bounds},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3538--3546},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hotti24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HottiGL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Houry00Y24,
author = {Guillaume Houry and
Han Bao and
Han Zhao and
Makoto Yamada},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fast 1-Wasserstein distance approximations using greedy strategies},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {325--333},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/houry24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Houry00Y24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HsiaoNPD24,
author = {Vincent Hsiao and
Dana S. Nau and
Bobak Pezeshki and
Rina Dechter},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Surrogate Bayesian Networks for Approximating Evolutionary Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2566--2574},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hsiao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HsiaoNPD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuDE24,
author = {Jie Hu and
Vishwaraj Doshi and
Do Young Eun},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Central Limit Theorem for Two-Timescale Stochastic Approximation with
Markovian Noise: Theory and Applications},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1477--1485},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hu24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuDE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuLLZZ24,
author = {Hanjiang Hu and
Zuxin Liu and
Linyi Li and
Jiacheng Zhu and
Ding Zhao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Pixel-wise Smoothing for Certified Robustness against Camera Motion
Perturbations},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {217--225},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuLLZZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuWWWAT24,
author = {Zihao Hu and
Guanghui Wang and
Xi Wang and
Andre Wibisono and
Jacob D. Abernethy and
Molei Tao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Extragradient Type Methods for Riemannian Variational Inequality Problems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2080--2088},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hu24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuWWWAT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Huang0W024,
author = {Jiayi Huang and
Han Zhong and
Liwei Wang and
Lin Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement
Learning with General Function Approximation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3673--3681},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/huang24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Huang0W024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuangWLC24,
author = {Feihu Huang and
Xinrui Wang and
Junyi Li and
Songcan Chen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Federated Minimax Optimization with Lower Complexities},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4663--4671},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/huang24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuangWLC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuangYH24,
author = {Jiawei Huang and
Batuhan Yardim and
Niao He},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Statistical Efficiency of Mean-Field Reinforcement Learning
with General Function Approximation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {289--297},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/huang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuangYH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HublerYLH24,
author = {Florian H{\"{u}}bler and
Junchi Yang and
Xiang Li and
Niao He},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Parameter-Agnostic Optimization under Relaxed Smoothness},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4861--4869},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hubler24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HublerYLH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuhR24,
author = {Jung Eun Huh and
Patrick Rebeschini},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Generalization Bounds for Label Noise Stochastic Gradient Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1360--1368},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/eun-huh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuhR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HutchinsonTA24,
author = {Spencer Hutchinson and
Berkay Turan and
Mahnoosh Alizadeh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Directional Optimism for Safe Linear Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {658--666},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/hutchinson24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HutchinsonTA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuynhBSCQS24,
author = {Nicolas Huynh and
Jeroen Berrevoets and
Nabeel Seedat and
Jonathan Crabb{\'{e}} and
Zhaozhi Qian and
Mihaela van der Schaar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {DAGnosis: Localized Identification of Data Inconsistencies using Structures},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1864--1872},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/huynh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuynhBSCQS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/HuyukQS24,
author = {Alihan H{\"{u}}y{\"{u}}k and
Zhaozhi Qian and
Mihaela van der Schaar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Experiment Design with Synthetic Controls},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1180--1188},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/huyuk24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/HuyukQS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IbrahimBM24,
author = {Shibal Ibrahim and
Kayhan Behdin and
Rahul Mazumder},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {End-to-end Feature Selection Approach for Learning Skinny Trees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2863--2871},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ibrahim24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IbrahimBM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IchikawaH24,
author = {Yuma Ichikawa and
Koji Hukushima},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Dynamics in Linear {VAE:} Posterior Collapse Threshold, Superfluous
Latent Space Pitfalls, and Speedup with {KL} Annealing},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1936--1944},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ichikawa24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IchikawaH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IldizZO24,
author = {Muhammed Emrullah Ildiz and
Zhe Zhao and
Samet Oymak},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Understanding Inverse Scaling and Emergence in Multitask Representation
Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4726--4734},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/e-ildiz24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IldizZO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/InatsuTHIT24,
author = {Yu Inatsu and
Shion Takeno and
Hiroyuki Hanada and
Kazuki Iwata and
Ichiro Takeuchi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures
under Input Uncertainty},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4564--4572},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/inatsu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/InatsuTHIT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IndelmanH24,
author = {Hedda Cohen Indelman and
Tamir Hazan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Latent Partial Matchings with Gumbel-IPF Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1513--1521},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/cohen-indelman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IndelmanH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IsikPGKWZ24,
author = {Berivan Isik and
Francesco Pase and
Deniz G{\"{u}}nd{\"{u}}z and
Sanmi Koyejo and
Tsachy Weissman and
Michele Zorzi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Compression in Federated Learning via Side Information},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {487--495},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/isik24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IsikPGKWZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IslamovSA24,
author = {Rustem Islamov and
Mher Safaryan and
Dan Alistarh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {AsGrad: {A} Sharp Unified Analysis of Asynchronous-SGD Algorithms},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {649--657},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/islamov24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IslamovSA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/IwazakiTITI24,
author = {Shogo Iwazaki and
Tomohiko Tanabe and
Mitsuru Irie and
Shion Takeno and
Yu Inatsu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Risk Seeking Bayesian Optimization under Uncertainty for Obtaining
Extremum},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1252--1260},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/iwazaki24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/IwazakiTITI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Jafarnia-Jahromi24,
author = {Mehdi Jafarnia{-}Jahromi and
Rahul A. Jain and
Ashutosh Nayyar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games
with an Arbitrary Opponent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3880--3888},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jafarnia-jahromi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Jafarnia-Jahromi24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JaffardVMR24,
author = {Sophie Jaffard and
Samuel Vaiter and
Alexandre Muzy and
Patricia Reynaud{-}Bouret},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Provable local learning rule by expert aggregation for a Hawkes network},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1837--1845},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jaffard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JaffardVMR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JagerB24,
author = {Sebastian J{\"{a}}ger and
Felix Biessmann},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {From Data Imputation to Data Cleaning - Automated Cleaning of Tabular
Data Improves Downstream Predictive Performance},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3394--3402},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jager24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JagerB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JaliQ0J24,
author = {Neharika Jali and
Guannan Qu and
Weina Wang and
Gauri Joshi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Reinforcement Learning for Routing Jobs in Heterogeneous
Queueing Systems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4177--4185},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jali24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JaliQ0J24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JangGS024,
author = {Taeuk Jang and
Hongchang Gao and
Pengyi Shi and
Xiaoqian Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Achieving Fairness through Separability: {A} Unified Framework for
Fair Representation Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {28--36},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JangGS024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JankowiakP24,
author = {Martin Jankowiak and
Du Phan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Reparameterized Variational Rejection Sampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {739--747},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jankowiak24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JankowiakP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JanzLAS24,
author = {David Janz and
Shuai Liu and
Alex Ayoub and
Csaba Szepesv{\'{a}}ri},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Exploration via linearly perturbed loss minimisation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {721--729},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/janz24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JanzLAS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JanzingBMFMB24,
author = {Dominik Janzing and
Patrick Bl{\"{o}}baum and
Atalanti{-}Anastasia Mastakouri and
Philipp Michael Faller and
Lenon Minorics and
Kailash Budhathoki},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Quantifying intrinsic causal contributions via structure preserving
interventions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2188--2196},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/janzing24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JanzingBMFMB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JeongL24,
author = {Isu Jeong and
Seulki Lee},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On-Demand Federated Learning for Arbitrary Target Class Distributions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3421--3429},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jeong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JeongL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Jhunjhunwala0J24,
author = {Divyansh Jhunjhunwala and
Shiqiang Wang and
Gauri Joshi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {FedFisher: Leveraging Fisher Information for One-Shot Federated Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1612--1620},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jhunjhunwala24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Jhunjhunwala0J24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JiangRSMHC24,
author = {Ruichen Jiang and
Parameswaran Raman and
Shoham Sabach and
Aryan Mokhtari and
Mingyi Hong and
Volkan Cevher},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Krylov Cubic Regularized Newton: {A} Subspace Second-Order Method
with Dimension-Free Convergence Rate},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4411--4419},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jiang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JiangRSMHC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JinGZB24,
author = {Ying Jin and
Ramki Gummadi and
Zhengyuan Zhou and
Jose H. Blanchet},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Feasible Q-Learning for Average Reward Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1630--1638},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jin24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JinGZB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JinLL24,
author = {Kexin Jin and
Chenguang Liu and
Jonas Latz},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Subsampling Error in Stochastic Gradient Langevin Diffusions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1414--1422},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JinLL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Jolicoeur-Martineau24,
author = {Alexia Jolicoeur{-}Martineau and
Kilian Fatras and
Tal Kachman},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Generating and Imputing Tabular Data via Diffusion and Flow-based
Gradient-Boosted Trees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1288--1296},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jolicoeur-martineau24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Jolicoeur-Martineau24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JordanBH24,
author = {Philip Jordan and
Anas Barakat and
Niao He},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Independent Learning in Constrained Markov Potential Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4024--4032},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/jordan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JordanBH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/JoshiJPM24,
author = {Siddharth Joshi and
Arnav Jain and
Ali Payani and
Baharan Mirzasoleiman},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Data-Efficient Contrastive Language-Image Pretraining: Prioritizing
Data Quality over Quantity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1000--1008},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/joshi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/JoshiJPM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KacprzykS24,
author = {Krzysztof Kacprzyk and
Mihaela van der Schaar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond
Closed-Form Equations},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3601--3609},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kacprzyk24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KacprzykS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KalantzisUWKH24,
author = {Vasileios Kalantzis and
Shashanka Ubaru and
Chai Wah Wu and
Georgios Kollias and
Lior Horesh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Asynchronous Randomized Trace Estimation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4294--4302},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kalantzis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KalantzisUWKH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KalemajKR24,
author = {Iden Kalemaj and
Shiva Prasad Kasiviswanathan and
Aaditya Ramdas},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Differentially Private Conditional Independence Testing},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3700--3708},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kalemaj24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KalemajKR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KamranMW24,
author = {Fahad Kamran and
Maggie Makar and
Jenna Wiens},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning to Rank for Optimal Treatment Allocation Under Resource Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3727--3735},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kamran24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KamranMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KantMSSG24,
author = {Manav Kant and
Eric Y. Ma and
Andrei Staicu and
Leonard J. Schulman and
Spencer Gordon},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Identifiability of Product of Experts Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4492--4500},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kant24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KantMSSG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KaragozluYAT24,
author = {Efe Mert Karag{\"{o}}zl{\"{u}} and
Yasar Cahit Yildirim and
{\c{C}}agin Ararat and
Cem Tekin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning the Pareto Set Under Incomplete Preferences: Pure Exploration
in Vector Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3070--3078},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/karagozlu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KaragozluYAT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KarimiH024,
author = {Mohammad Reza Karimi and
Ya{-}Ping Hsieh and
Andreas Krause},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sinkhorn Flow as Mirror Flow: {A} Continuous-Time Framework for Generalizing
the Sinkhorn Algorithm},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4186--4194},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/reza-karimi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KarimiH024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KarjolKGP24,
author = {Pavan Karjol and
Rohan Kashyap and
Aditya Gopalan and
A. P. Prathosh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Unified Framework for Discovering Discrete Symmetries},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {793--801},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/karjol24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KarjolKGP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KarntikoonSGKSS24,
author = {Kritkorn Karntikoon and
Yiheng Shen and
Sreenivas Gollapudi and
Kostas Kollias and
Aaron Schild and
Ali Kemal Sinop},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {First Passage Percolation with Queried Hints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4231--4239},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/karntikoon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KarntikoonSGKSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KattaPRV24,
author = {Srikar Katta and
Harsh Parikh and
Cynthia Rudin and
Alexander Volfovsky},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Interpretable Causal Inference for Analyzing Wearable, Sensor, and
Distributional Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3340--3348},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/katta24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KattaPRV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KausikLTMWT24,
author = {Chinmaya Kausik and
Yangyi Lu and
Kevin Tan and
Maggie Makar and
Yixin Wang and
Ambuj Tewari},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Offline Policy Evaluation and Optimization Under Confounding},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1459--1467},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kausik24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KausikLTMWT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KelviniusL24,
author = {Filip Ekstr{\"{o}}m Kelvinius and
Fredrik Lindsten},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Discriminator Guidance for Autoregressive Diffusion Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3403--3411},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ekstrom-kelvinius24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KelviniusL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KerriganMS24,
author = {Gavin Kerrigan and
Giosue Migliorini and
Padhraic Smyth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Functional Flow Matching},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3934--3942},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kerrigan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KerriganMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KhanHMBD24,
author = {Zulqarnain Khan and
Davin Hill and
Aria Masoomi and
Joshua T. Bone and
Jennifer G. Dy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Analyzing Explainer Robustness via Probabilistic Lipschitzness of
Prediction Functions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1378--1386},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/q-khan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KhanHMBD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KimIZ24,
author = {Wonyoung Kim and
Garud Iyengar and
Assaf Zeevi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Doubly Robust Approach to Sparse Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2305--2313},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kim24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KimIZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KimMG24,
author = {Kyurae Kim and
Yian Ma and
Jacob Gardner},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Linear Convergence of Black-Box Variational Inference: Should We Stick
the Landing?},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {235--243},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kim24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KimMG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KimSJL24,
author = {Taehyo Kim and
Hai Shu and
Qiran Jia and
Mony de Leon},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {DeepFDR: {A} Deep Learning-based False Discovery Rate Control Method
for Neuroimaging Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {946--954},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kim24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KimSJL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KjaersgaardP0KC24,
author = {Rune D. Kj{\ae}rsgaard and
Pekka Parviainen and
Saket Saurabh and
Madhumita Kundu and
Line H. Clemmensen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fair Soft Clustering},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1270--1278},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/d-kjaersgaard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KjaersgaardP0KC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KoelleZMM24,
author = {Samson J. Koelle and
Hanyu Zhang and
Octavian{-}Vlad Murad and
Marina Meila},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Consistency of Dictionary-Based Manifold Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4348--4356},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/j-koelle24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KoelleZMM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KolpaczkiMFHH24,
author = {Patrick Kolpaczki and
Maximilian Muschalik and
Fabian Fumagalli and
Barbara Hammer and
Eyke H{\"{u}}llermeier},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{SVARM-IQ:} Efficient Approximation of Any-order Shapley Interactions
through Stratification},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3520--3528},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kolpaczki24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KolpaczkiMFHH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KoneKR24,
author = {Cyrille Kone and
Emilie Kaufmann and
Laura Richert},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Bandit Pareto Set Identification: the Fixed Budget Setting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2548--2556},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kone24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KoneKR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KongSZWMZ24,
author = {Lingkai Kong and
Haotian Sun and
Yuchen Zhuang and
Haorui Wang and
Wenhao Mu and
Chao Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Two Birds with One Stone: Enhancing Uncertainty Quantification and
Interpretability with Graph Functional Neural Process},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4582--4590},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KongSZWMZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KorhonenFP24,
author = {Tuukka Korhonen and
Fedor V. Fomin and
Pekka Parviainen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Structural perspective on constraint-based learning of Markov networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1855--1863},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/korhonen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KorhonenFP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KricheneMR0TZ24,
author = {Walid Krichene and
Nicolas Mayoraz and
Steffen Rendle and
Shuang Song and
Abhradeep Thakurta and
Li Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Private Learning with Public Features},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4150--4158},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/krichene24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KricheneMR0TZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KrishnamurthyPA24,
author = {Sanath Kumar Krishnamurthy and
Adrienne M. Propp and
Susan Athey},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Towards Costless Model Selection in Contextual Bandits: {A} Bias-Variance
Perspective},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2476--2484},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kumar-krishnamurthy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KrishnamurthyPA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KuangYYL24,
author = {Yiling Kuang and
Chao Yang and
Yang Yang and
Shuang Li},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Unveiling Latent Causal Rules: {A} Temporal Point Process Approach
for Abnormal Event Explanation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2935--2943},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kuang24a.html},
timestamp = {Mon, 24 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KuangYYL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KubaULA24,
author = {Kuba Grudzien Kuba and
Masatoshi Uehara and
Sergey Levine and
Pieter Abbeel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Functional Graphical Models: Structure Enables Offline Data-Driven
Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2449--2457},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/grudzien24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KubaULA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KurokiRTVC24,
author = {Yuko Kuroki and
Alberto Rumi and
Taira Tsuchiya and
Fabio Vitale and
Nicol{\`{o}} Cesa{-}Bianchi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Best-of-Both-Worlds Algorithms for Linear Contextual Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1216--1224},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kuroki24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KurokiRTVC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KvimanBEL24,
author = {Oskar Kviman and
Nicola Branchini and
V{\'{\i}}ctor Elvira and
Jens Lagergren},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Variational Resampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3286--3294},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kviman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KvimanBEL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KwonC24,
author = {Hyeok Kyu Kwon and
Minwoo Chae},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Minimax optimal density estimation using a shallow generative model
with a one-dimensional latent variable},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {469--477},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/kyu-kwon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KwonC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KwonZSB024,
author = {Soo Min Kwon and
Zekai Zhang and
Dogyoon Song and
Laura Balzano and
Qing Qu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Low-Dimensional Compression of Overparameterized Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1009--1017},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/min-kwon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KwonZSB024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LaPlanteP24,
author = {Sara LaPlante and
Emilija Perkovic},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Conditional Adjustment in a Markov Equivalence Class},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2782--2790},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/laplante24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LaPlanteP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LabergePMK24,
author = {Gabriel Laberge and
Yann Batiste Pequignot and
Mario Marchand and
Foutse Khomh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Tackling the {XAI} Disagreement Problem with Regional Explanations},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2017--2025},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/laberge24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LabergePMK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LahotiSRK24,
author = {Aakash Sunil Lahoti and
Spandan Senapati and
Ketan Rajawat and
Alec Koppel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sharpened Lazy Incremental Quasi-Newton Method},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4735--4743},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sunil-lahoti24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LahotiSRK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LanS24,
author = {Hui Lan and
Vasilis Syrgkanis},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Causal Q-Aggregation for {CATE} Model Selection},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4366--4374},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LanS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeNF24,
author = {Tam Le and
Truyen Nguyen and
Kenji Fukumizu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimal Transport for Measures with Noisy Tree Metric},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3115--3123},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/le24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeNF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LebensoldPB24,
author = {Jonathan Lebensold and
Doina Precup and
Borja Balle},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Privacy of Selection Mechanisms with Gaussian Noise},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1495--1503},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lebensold24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LebensoldPB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeconteJSM24,
author = {Louis Leconte and
Matthieu Jonckheere and
Sergey Samsonov and
Eric Moulines},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Queuing dynamics of asynchronous Federated Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1711--1719},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/leconte24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeconteJSM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeeCS24,
author = {Chungpa Lee and
Joonhwan Chang and
Jy{-}yong Sohn},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Analysis of Using Sigmoid Loss for Contrastive Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1747--1755},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lee24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeeCS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeeS24,
author = {Thomas L. Lee and
Amos J. Storkey},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Approximate Bayesian Class-Conditional Models under Continuous Representation
Shift},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3628--3636},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/l-lee24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeeS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeeY24,
author = {Jae{-}Jun Lee and
Sung Whan Yoon},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{XB-MAML:} Learning Expandable Basis Parameters for Effective Meta-Learning
with Wide Task Coverage},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3196--3204},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lee24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeeY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeeYJ24,
author = {Junghyun Lee and
Se{-}Young Yun and
Kwang{-}Sung Jun},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set
Conversion},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4474--4482},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lee24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeeYJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeinerR24,
author = {James Leiner and
Aaditya Ramdas},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Graph fission and cross-validation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2638--2646},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/leiner24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LeinerR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LevinD24,
author = {Eitan Levin and
Mateo D{\'{\i}}az},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Any-dimensional equivariant neural networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2773--2781},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/levin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LevinD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Li0V24,
author = {George Z. Li and
Dung Nguyen and
Anil Vullikanti},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Computing epidemic metrics with edge differential privacy},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4303--4311},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/z-li24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Li0V24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Li0XK0Z24,
author = {Shibo Li and
Xin Yu and
Wei W. Xing and
Robert M. Kirby and
Akil Narayan and
Shandian Zhe},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-Resolution Active Learning of Fourier Neural Operators},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2440--2448},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24k.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Li0XK0Z24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiBM24,
author = {Kevin Li and
Max Balakirsky and
Simon Mak},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Trigonometric Quadrature Fourier Features for Scalable Gaussian Process
Regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3484--3492},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24o.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiBM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiC24,
author = {Zitian Li and
Wang Chi Cheung},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Best Arm Identification with Resource Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {253--261},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiDMF24,
author = {Weichen Li and
Rati Devidze and
Waleed Mustafa and
Sophie Fellenz},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Ethics in Action: Training Reinforcement Learning Agents for Moral
Decision-making In Text-based Adventure Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1954--1962},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24i.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiDMF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiHIRO24,
author = {Yingcong Li and
Yixiao Huang and
Muhammed Emrullah Ildiz and
Ankit Singh Rawat and
Samet Oymak},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Mechanics of Next Token Prediction with Self-Attention},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {685--693},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24f.html},
timestamp = {Mon, 03 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiHIRO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiJCW24,
author = {Zihao Li and
Xiang Ji and
Minshuo Chen and
Mengdi Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Policy Evaluation for Reinforcement Learning from Human Feedback:
{A} Sample Complexity Analysis},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2737--2745},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24l.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiJCW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiJJ24,
author = {Zhaoqi Li and
Kevin G. Jamieson and
Lalit Jain},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimal Exploration is no harder than Thompson Sampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1684--1692},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24h.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiJJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiL24,
author = {Yingru Li and
Zhi{-}Quan Luo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Prior-dependent analysis of posterior sampling reinforcement learning
with function approximation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {559--567},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiL24a,
author = {Yun{-}Peng Li and
Hans{-}Andrea Loeliger},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Backward Filtering Forward Deciding in Linear Non-Gaussian State Space
Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2287--2295},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24j.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiL24a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiLSW24,
author = {Xiaocheng Li and
Shang Liu and
Chunlin Sun and
Hanzhao Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {When No-Rejection Learning is Consistent for Regression with Rejection},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1126--1134},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24g.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiLSW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiN00L024,
author = {Zhishuai Li and
Yunhao Nie and
Ziyue Li and
Lei Bai and
Yisheng Lv and
Rui Zhao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Non-Neighbors Also Matter to Kriging: {A} New Contrastive-Prototypical
Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {46--54},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiN00L024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiSH24,
author = {Wenjie Li and
Qifan Song and
Jean Honorio},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Personalized Federated X-armed Bandit},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {37--45},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiSH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiY24,
author = {Yunfan Li and
Lin Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Model-Misspecification in Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2764--2772},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24m.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiZ24,
author = {Yinan Li and
Chicheng Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Active Learning Halfspaces with Tsybakov Noise: {A} Non-convex
Optimization Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4744--4752},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24p.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiZF24,
author = {Cheuk Ting Li and
Jingwei Zhang and
Farzan Farnia},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On Convergence in Wasserstein Distance and f-divergence Minimization
Problems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2062--2070},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ting-li24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiZF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiZZ24,
author = {Long{-}Fei Li and
Peng Zhao and
Zhi{-}Hua Zhou},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit
Feedback and Unknown Transition},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3061--3069},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/li24n.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiZZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiangL24,
author = {Hao Liang and
Zhiquan Luo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz
Dynamic Risk Measures},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1774--1782},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiangL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LimJLC24,
author = {Seongwoo Lim and
Won Jo and
Joohyung Lee and
Jaesik Choi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Pathwise Explanation of ReLU Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4645--4653},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lim24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LimJLC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LimniosC24,
author = {Myrto Limnios and
St{\'{e}}phan Cl{\'{e}}men{\c{c}}on},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On Ranking-based Tests of Independence},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {577--585},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/limnios24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LimniosC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LinCJ24,
author = {Tianyi Lin and
Marco Cuturi and
Michael I. Jordan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {145--153},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LinCJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LinZ24,
author = {Meixia Lin and
Yangjing Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {DNNLasso: Scalable Graph Learning for Matrix-Variate Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {316--324},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lin24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LinZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LindnerCTH024,
author = {David Lindner and
Xin Chen and
Sebastian Tschiatschek and
Katja Hofmann and
Andreas Krause},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Safety Constraints from Demonstrations with Unknown Rewards},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2386--2394},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lindner24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LindnerCTH024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LionNHB24,
author = {Kai Lion and
Lorenzo Noci and
Thomas Hofmann and
Gregor Bachmann},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {How Good is a Single Basin?},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4015--4023},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lion24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LionNHB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Liu24,
author = {Shuo Shuo Liu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Unified Transfer Learning in High-Dimensional Linear Regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1036--1044},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shuo-liu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Liu24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuA24,
author = {Daogao Liu and
Hilal Asi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {User-level Differentially Private Stochastic Convex Optimization:
Efficient Algorithms with Optimal Rates},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4240--4248},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24g.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuASPM24,
author = {Kaiting Liu and
Zahra Atashgahi and
Ghada Sokar and
Mykola Pechenizkiy and
Decebal Constantin Mocanu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Supervised Feature Selection via Ensemble Gradient Information from
Sparse Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3952--3960},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24f.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuASPM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuCZF024,
author = {Shuqi Liu and
Yuzhou Cao and
Qiaozhen Zhang and
Lei Feng and
Bo An},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Mitigating Underfitting in Learning to Defer with Consistent Losses},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4816--4824},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24h.html},
timestamp = {Wed, 12 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuCZF024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuT24,
author = {Yin Liu and
Sam Davanloo Tajbakhsh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fitting {ARMA} Time Series Models without Identification: {A} Proximal
Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3835--3843},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuTV24,
author = {Jizhou Liu and
Eric Tchetgen Tchetgen and
Carlos Varj{\~{a}}o},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Proximal Causal Inference for Synthetic Control with Surrogates},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {730--738},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuTV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuWPWZ0024,
author = {Jiashuo Liu and
Jiayun Wu and
Jie Peng and
Xiaoyu Wu and
Yang Zheng and
Bo Li and
Peng Cui},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Enhancing Distributional Stability among Sub-populations},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2125--2133},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuWPWZ0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuX24,
author = {Zhishuai Liu and
Pan Xu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Distributionally Robust Off-Dynamics Reinforcement Learning: Provable
Efficiency with Linear Function Approximation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2719--2727},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuX24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LiuYLT24,
author = {Yue Liu and
Ziyi Yu and
Zitu Liu and
Wenjie Tian},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Neural Architecture Design via Capturing Architecture-Performance
Joint Distribution},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1738--1746},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/liu24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LiuYLT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LongXKKZM24,
author = {Da Long and
Wei W. Xing and
Aditi S. Krishnapriyan and
Robert M. Kirby and
Shandian Zhe and
Michael W. Mahoney},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient
Kernels},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2413--2421},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/long24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LongXKKZM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Lorch0S24,
author = {Lars Lorch and
Andreas Krause and
Bernhard Sch{\"{o}}lkopf},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Causal Modeling with Stationary Diffusions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1927--1935},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lorch24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Lorch0S24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LosalkaS24,
author = {Arpan Losalka and
Jonathan Scarlett},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity
Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3232--3240},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/losalka24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LosalkaS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LuZTH24,
author = {Juanwu Lu and
Wei Zhan and
Masayoshi Tomizuka and
Yeping Hu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Towards Generalizable and Interpretable Motion Prediction: {A} Deep
Variational Bayes Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4717--4725},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LuZTH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LuoHTDRCDJ024,
author = {Zhishang Luo and
Truong Son Hy and
Puoya Tabaghi and
Micha{\"{e}}l Defferrard and
Elahe Rezaei and
Ryan Carey and
W. Rhett Davis and
Rajeev Jain and
Yusu Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{DE-HNN:} An effective neural model for Circuit Netlist representation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4258--4266},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/luo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LuoHTDRCDJ024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Lymperopoulos024,
author = {Panagiotis Lymperopoulos and
Liping Liu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2647--2655},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lymperopoulos24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Lymperopoulos024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LyuTKA24,
author = {Zhao Lyu and
Wai Ming Tai and
Mladen Kolar and
Bryon Aragam},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Inconsistency of Cross-Validation for Structure Learning in Gaussian
Graphical Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3691--3699},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/lyu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/LyuTKA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MaCLS24,
author = {Ziye Ma and
Ying Chen and
Javad Lavaei and
Somayeh Sojoudi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Absence of spurious solutions far from ground truth: {A} low-rank
analysis with high-order losses},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1603--1611},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ma24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MaCLS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MaZY24,
author = {Zitong Ma and
Wenbo Zhao and
Zhe Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Directed Hypergraph Representation Learning for Link Prediction},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3268--3276},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ma24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MaZY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MadduxK24,
author = {Anna M. Maddux and
Maryam Kamgarpour},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-Agent Learning in Contextual Games under Unknown Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3142--3150},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/m-maddux24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MadduxK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MaitiBJR24,
author = {Arnab Maiti and
Ross Boczar and
Kevin G. Jamieson and
Lillian J. Ratliff},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Near-Optimal Pure Exploration in Matrix Games: {A} Generalization
of Stochastic Bandits {\&} Dueling Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2602--2610},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/maiti24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MaitiBJR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MamecheVK24,
author = {Sarah Mameche and
Jilles Vreeken and
David Kaltenpoth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Identifying Confounding from Causal Mechanism Shifts},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4897--4905},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mameche24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MamecheVK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ManiyarAMB24,
author = {Mizhaan Prajit Maniyar and
Prashanth L. A. and
Akash Mondal and
Shalabh Bhatnagar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4708--4716},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/maniyar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ManiyarAMB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ManupriyaDBJ24,
author = {Piyushi Manupriya and
Rachit Keerti Das and
Sayantan Biswas and
Sakethanath Nath Jagarlapudi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Consistent Optimal Transport with Empirical Conditional Measures},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3646--3654},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/manupriya24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ManupriyaDBJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MaoM024,
author = {Anqi Mao and
Mehryar Mohri and
Yutao Zhong},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Theoretically Grounded Loss Functions and Algorithms for Score-Based
Multi-Class Abstention},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4753--4761},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MaoM024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MarmarelisMGS24,
author = {Myrl G. Marmarelis and
Fred Morstatter and
Aram Galstyan and
Greg Ver Steeg},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Policy Learning for Localized Interventions from Observational Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4456--4464},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/marmarelis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MarmarelisMGS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MartinBB24,
author = {Simon Martin and
Francis Bach and
Giulio Biroli},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Impact of Overparameterization on the Training of a Shallow
Neural Network in High Dimensions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3655--3663},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/martin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MartinBB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MartinezBS24,
author = {Natalia Mart{\'{\i}}nez and
Mart{\'{\i}}n Bertr{\'{a}}n and
Guillermo Sapiro},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Achieving Group Distributional Robustness and Minimax Group Fairness
with Interpolating Classifiers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2629--2637},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/l-martinez24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MartinezBS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MaunuM24,
author = {Tyler Maunu and
Martin Molina{-}Fructuoso},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Acceleration and Implicit Regularization in Gaussian Phase Retrieval},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4060--4068},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/maunu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MaunuM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MauriZ24,
author = {Lorenzo Mauri and
Giacomo Zanella},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust Approximate Sampling via Stochastic Gradient Barker Dynamics},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2107--2115},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mauri24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MauriZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Mazzetto24,
author = {Alessio Mazzetto},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {An Improved Algorithm for Learning Drifting Discrete Distributions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4159--4167},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mazzetto24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Mazzetto24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/McMahan024,
author = {Jeremy McMahan and
Xiaojin Zhu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Anytime-Constrained Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4321--4329},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mcmahan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/McMahan024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/McNamaraLR24,
author = {Declan McNamara and
Jackson Loper and
Jeffrey Regier},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sequential Monte Carlo for Inclusive {KL} Minimization in Amortized
Variational Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4312--4320},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mcnamara24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/McNamaraLR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MedvedovskyTR24,
author = {Yakov Medvedovsky and
Eran Treister and
Tirza S. Routtenberg},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Graph Laplacian Estimation by Proximal Newton},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1171--1179},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/medvedovsky24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MedvedovskyTR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MengCBM24,
author = {Xiang Meng and
Wenyu Chen and
Riade Benbaki and
Rahul Mazumder},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{FALCON:} FLOP-Aware Combinatorial Optimization for Neural Network
Pruning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4384--4392},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/meng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MengCBM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MitarchukLEEHR24,
author = {Volodimir Mitarchuk and
Clara Lacroce and
R{\'{e}}mi Eyraud and
R{\'{e}}mi Emonet and
Amaury Habrard and
Guillaume Rabusseau},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Length independent PAC-Bayes bounds for Simple RNNs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3547--3555},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mitarchuk24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MitarchukLEEHR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Mogensen24,
author = {S{\o}ren Wengel Mogensen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Faithful graphical representations of local independence},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2989--2997},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/w-mogensen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Mogensen24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MohammadpourBFB24,
author = {Sobhan Mohammadpour and
Emmanuel Bengio and
Emma Frejinger and
Pierre{-}Luc Bacon},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Maximum entropy GFlowNets with soft Q-learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2593--2601},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mohammadpour24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MohammadpourBFB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MolaeiTNS0C24,
author = {Soheila Molaei and
Anshul Thakur and
Ghazaleh Niknam and
Andrew A. S. Soltan and
Hadi Zare and
David A. Clifton},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Federated Learning For Heterogeneous Electronic Health Records Utilising
Augmented Temporal Graph Attention Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1342--1350},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/molaei24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MolaeiTNS0C24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MondalA24,
author = {Washim Uddin Mondal and
Vaneet Aggarwal},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm
with General Parameterization for Infinite Horizon Discounted Reward
Markov Decision Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3097--3105},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/u-mondal24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MondalA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MorenoBGO24,
author = {Bianca Marin Moreno and
Margaux Br{\'{e}}g{\`{e}}re and
Pierre Gaillard and
Nadia Oudjane},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Model-Based Concave Utility Reinforcement Learning through
Greedy Mirror Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2206--2214},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/m-moreno24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MorenoBGO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MorozovRDVS24,
author = {Nikita Morozov and
Denis Rakitin and
Oleg Desheulin and
Dmitry P. Vetrov and
Kirill Struminsky},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Differentiable Rendering with Reparameterized Volume Sampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4852--4860},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/morozov24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MorozovRDVS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MortazaviLM24,
author = {Ali Mortazavi and
Junhao Lin and
Nishant A. Mehta},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the price of exact truthfulness in incentive-compatible online
learning with bandit feedback: a regret lower bound for {WSU-UX}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4681--4689},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mortazavi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MortazaviLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MosenzonV24,
author = {Ron Mosenzon and
Ali Vakilian},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Scalable Algorithms for Individual Preference Stable Clustering},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1108--1116},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mosenzon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MosenzonV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MualemEFK24,
author = {Loay Raed Mualem and
Ethan R. Elenberg and
Moran Feldman and
Amin Karbasi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Submodular Minimax Optimization: Finding Effective Sets},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1081--1089},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/raed-mualem24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MualemEFK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MukherjeeXHN24,
author = {Subhojyoti Mukherjee and
Qiaomin Xie and
Josiah P. Hanna and
Robert D. Nowak},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{SPEED:} Experimental Design for Policy Evaluation in Linear Heteroscedastic
Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2962--2970},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mukherjee24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MukherjeeXHN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MurtiKB24,
author = {Chaitanya Murti and
Dhruva Kashyap and
Chiranjib Bhattacharyya},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {LP-based Construction of {DC} Decompositions for Efficient Inference
of Markov Random Fields},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3781--3789},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/murti24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MurtiKB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/MustafaLLWWK24,
author = {Waleed Mustafa and
Philipp Liznerski and
Antoine Ledent and
Dennis Wagner and
Puyu Wang and
Marius Kloft},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic
Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4528--4536},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mustafa24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/MustafaLLWWK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NakamuraS24,
author = {Shintaro Nakamura and
Masashi Sugiyama},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed
Bandit},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1225--1233},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nakamura24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NakamuraS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NakanoSNSSIK24,
author = {Masahiro Nakano and
Hiroki Sakuma and
Ryo Nishikimi and
Ryohei Shibue and
Takashi Sato and
Tomoharu Iwata and
Kunio Kashino},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Warped Diffusion for Latent Differentiation Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4789--4797},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nakano24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NakanoSNSSIK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NakisCBLM24,
author = {Nikolaos Nakis and
Abdulkadir {\c{C}}elikkanat and
Louis Boucherie and
Sune Lehmann and
Morten M{\o}rup},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Time to Cite: Modeling Citation Networks using the Dynamic Impact
Single-Event Embedding Model},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1882--1890},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nakis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NakisCBLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NazaretSB24,
author = {Achille O. R. Nazaret and
Claudia Shi and
David M. Blei},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Misspecification of Linear Assumptions in Synthetic Controls},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3790--3798},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nazaret24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NazaretSB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NazykovSSBGG24,
author = {Ruslan Nazykov and
Aleksandr Shestakov and
Vladimir Solodkin and
Aleksandr Beznosikov and
Gauthier Gidel and
Alexander V. Gasnikov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4870--4878},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nazykov24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NazykovSSBGG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NeuhofB24,
author = {Bitya Neuhof and
Yuval Benjamini},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Confident Feature Ranking},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1468--1476},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/neuhof24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NeuhofB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NguyenHSNNN24,
author = {Tuan Nguyen and
Hirotada Honda and
Takashi Sano and
Vinh Nguyen and
Shugo Nakamura and
Tan Minh Nguyen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing
via a Kuramoto Model-based Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2710--2718},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nguyen24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NguyenHSNNN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NguyenM24,
author = {Quan M. Nguyen and
Nishant Mehta},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Near-optimal Per-Action Regret Bounds for Sleeping Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2827--2835},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/m-nguyen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NguyenM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NguyenNH24,
author = {Huy Nguyen and
Khai Nguyen and
Nhat Ho},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On Parameter Estimation in Deviated Gaussian Mixture of Experts},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2674--2682},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nguyen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NguyenNH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NguyenNNH24,
author = {Huy Nguyen and
TrungTin Nguyen and
Khai Nguyen and
Nhat Ho},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Towards Convergence Rates for Parameter Estimation in Gaussian-gated
Mixture of Experts},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2683--2691},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nguyen24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NguyenNNH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Ni0WF24,
author = {Ronghao Ni and
Zinan Lin and
Shuaiqi Wang and
Giulia Fanti},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Mixture-of-Linear-Experts for Long-term Time Series Forecasting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4672--4680},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ni24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Ni0WF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NikaMSR24,
author = {Andi Nika and
Debmalya Mandal and
Adish Singla and
Goran Radanovic},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Corruption-Robust Offline Two-Player Zero-Sum Markov Games},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1243--1251},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nika24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NikaMSR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NitandaKMW24,
author = {Atsushi Nitanda and
Ryuhei Kikuchi and
Shugo Maeda and
Denny Wu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Why is parameter averaging beneficial in SGD? An objective smoothing
perspective},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3565--3573},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/nitanda24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NitandaKMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/NovitasariQR24,
author = {Maria C. Novitasari and
Johannes Quaas and
Miguel Rodrigues},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{ALAS:} Active Learning for Autoconversion Rates Prediction from Satellite
Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3358--3366},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/c-novitasari24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/NovitasariQR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OdonnatFR24,
author = {Ambroise Odonnat and
Vasilii Feofanov and
Ievgen Redko},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Leveraging Ensemble Diversity for Robust Self-Training in the Presence
of Sample Selection Bias},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {595--603},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/odonnat24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OdonnatFR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OesterlingMCL24,
author = {Alex Oesterling and
Jiaqi Ma and
Fl{\'{a}}vio P. Calmon and
Himabindu Lakkaraju},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fair Machine Unlearning: Data Removal while Mitigating Disparities},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3736--3744},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/oesterling24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OesterlingMCL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OkoroaforKS24,
author = {Princewill Okoroafor and
Robert D. Kleinberg and
Wen Sun},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Faster Recalibration of an Online Predictor via Approachability},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4690--4698},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/okoroafor24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OkoroaforKS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OlminLSL24,
author = {Amanda Olmin and
Jakob Lindqvist and
Lennart Svensson and
Fredrik Lindsten},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the connection between Noise-Contrastive Estimation and Contrastive
Divergence},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3016--3024},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/olmin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OlminLSL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OlsenLM24,
author = {Kenny Olsen and
Rasmus M. Hoeegh Lindrup and
Morten M{\o}rup},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor
Kernel Density Estimators},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4114--4122},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/olsen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OlsenLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OprescuBK24,
author = {Miruna Oprescu and
Andrew Bennett and
Nathan Kallus},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Low-rank MDPs with Continuous Action Spaces},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4069--4077},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/oprescu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OprescuBK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/OuCA24,
author = {Tingting Ou and
Rachel Cummings and
Marco Avella},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Thompson Sampling Itself is Differentially Private},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1576--1584},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ou24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/OuCA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PalVM0TAS024,
author = {Soumyabrata Pal and
Prateek Varshney and
Gagan Madan and
Prateek Jain and
Abhradeep Thakurta and
Gaurav Aggarwal and
Pradeep Shenoy and
Gaurav Srivastava},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sample-Efficient Personalization: Modeling User Parameters as Low
Rank Plus Sparse Components},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1702--1710},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/pal24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PalVM0TAS024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PalmN24,
author = {Nicolai Palm and
Thomas Nagler},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {An Online Bootstrap for Time Series},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {190--198},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/palm24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PalmN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PandevaFRS24,
author = {Teodora Pandeva and
Patrick Forr{\'{e}} and
Aaditya Ramdas and
Shubhanshu Shekhar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Deep anytime-valid hypothesis testing},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {622--630},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/pandeva24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PandevaFRS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PapazovPF24,
author = {Hristo Papazov and
Scott Pesme and
Nicolas Flammarion},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Leveraging Continuous Time to Understand Momentum When Training Diagonal
Linear Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3556--3564},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/papazov24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PapazovPF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ParikhLAZWRV24,
author = {Harsh Parikh and
Quinn Lanners and
Zade Akras and
Sahar Zafar and
M. Brandon Westover and
Cynthia Rudin and
Alexander Volfovsky},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Safe and Interpretable Estimation of Optimal Treatment Regimes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2134--2142},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/parikh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ParikhLAZWRV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ParkB24,
author = {Yookoon Park and
David M. Blei},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Density Uncertainty Layers for Reliable Uncertainty Estimation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {163--171},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/park24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ParkB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PasarkarD24,
author = {Amey P. Pasarkar and
Adji Bousso Dieng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Cousins Of The Vendi Score: {A} Family Of Similarity-Based Diversity
Metrics For Science And Machine Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3808--3816},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/p-pasarkar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PasarkarD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PasterisRVC24,
author = {Stephen U. Pasteris and
Alberto Rumi and
Fabio Vitale and
Nicol{\`{o}} Cesa{-}Bianchi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sum-max Submodular Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2323--2331},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/u-pasteris24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PasterisRVC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PatelRT24,
author = {Yash P. Patel and
Sahana Rayan and
Ambuj Tewari},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Conformal Contextual Robust Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2485--2493},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/p-patel24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PatelRT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PatilMP24,
author = {Gandharv Patil and
Aditya Mahajan and
Doina Precup},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On learning history-based policies for controlling Markov decision
processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3511--3519},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/patil24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PatilMP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PatilWT24,
author = {Pratik Patil and
Yuchen Wu and
Ryan J. Tibshirani},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Failures and Successes of Cross-Validation for Early-Stopped Gradient
Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2260--2268},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/patil24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PatilWT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PereyraT24,
author = {Marcelo Pereyra and
Juli{\'{a}}n Tachella},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Equivariant bootstrapping for uncertainty quantification in imaging
inverse problems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4141--4149},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/pereyra24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PereyraT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PerezVGS24,
author = {Rapha{\"{e}}l Carpintero Perez and
S{\'{e}}bastien Da Veiga and
Josselin Garnier and
Brian Staber},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman
graph kernels},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1297--1305},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/carpintero-perez24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PerezVGS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PeshekhonovAR24,
author = {Ivan Peshekhonov and
Aleksey Arzhantsev and
Maxim V. Rakhuba},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Training a Tucker Model With Shared Factors: a Riemannian Optimization
Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3304--3312},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/peshekhonov24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PeshekhonovAR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PhanKL24,
author = {Buu Phan and
Ashish Khisti and
Christos Louizos},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Importance Matching Lemma for Lossy Compression with Side Information},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1387--1395},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/phan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PhanKL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Pichler0MKKG24,
author = {Georg Pichler and
Marco Romanelli and
Divya Prakash Manivannan and
Prashanth Krishnamurthy and
Farshad Khorrami and
Siddharth Garg},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the (In)feasibility of {ML} Backdoor Detection as an Hypothesis
Testing Problem},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4051--4059},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/pichler24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Pichler0MKKG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PlassierKRNVFH024,
author = {Vincent Plassier and
Nikita Kotelevskii and
Aleksandr Rubashevskii and
Fedor Noskov and
Maksim Velikanov and
Alexander Fishkov and
Samuel Horv{\'{a}}th and
Martin Tak{\'{a}}c and
Eric Moulines and
Maxim Panov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Conformal Prediction under Data Heterogeneity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4879--4887},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/plassier24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PlassierKRNVFH024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PopordanoskaGTB24,
author = {Teodora Popordanoska and
Sebastian Gregor Gruber and
Aleksei Tiulpin and
Florian B{\"{u}}ttner and
Matthew B. Blaschko},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Consistent and Asymptotically Unbiased Estimation of Proper Calibration
Errors},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3466--3474},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/popordanoska24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PopordanoskaGTB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PuchkinGKG24,
author = {Nikita Puchkin and
Eduard Gorbunov and
Nikolay Kutuzov and
Alexander V. Gasnikov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization
Problems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {856--864},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/puchkin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PuchkinGKG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/PuranikB0M24,
author = {Bhagyashree Puranik and
Ahmad Beirami and
Yao Qin and
Upamanyu Madhow},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Improving Robustness via Tilted Exponential Layer: {A} Communication-Theoretic
Perspective},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4510--4518},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/puranik24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/PuranikB0M24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/QianC024,
author = {Chendi Qian and
Didier Ch{\'{e}}telat and
Christopher Morris},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Exploring the Power of Graph Neural Networks in Solving Linear Optimization
Problems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1432--1440},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/qian24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/QianC024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Qin0024,
author = {Lianke Qin and
Zhao Song and
Ruizhe Zhang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A General Algorithm for Solving Rank-one Matrix Sensing},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {757--765},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/qin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Qin0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RameshSH0B24,
author = {Shyam Sundhar Ramesh and
Pier Giuseppe Sessa and
Yifan Hu and
Andreas Krause and
Ilija Bogunovic},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Distributionally Robust Model-based Reinforcement Learning with Large
State Spaces},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {100--108},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sundhar-ramesh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RameshSH0B24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RammalGFGR24,
author = {Ahmad Rammal and
Kaja Gruntkowska and
Nikita Fedin and
Eduard Gorbunov and
Peter Richt{\'{a}}rik},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Communication Compression for Byzantine Robust Learning: New Efficient
Algorithms and Improved Rates},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1207--1215},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/rammal24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RammalGFGR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RamosSONOO24,
author = {Thiago Ramos and
Rodrigo Loro Schuller and
Alex Akira Okuno and
Lucas Nissenbaum and
Roberto I Oliveira and
Paulo Orenstein},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {BlockBoost: Scalable and Efficient Blocking through Boosting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2575--2583},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ramos24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RamosSONOO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RashidHZKP24,
author = {Ahmad Rashid and
Serena Hacker and
Guojun Zhang and
Agustinus Kristiadi and
Pascal Poupart},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated
Discriminative Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3034--3042},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/rashid24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RashidHZKP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RashidiJG24,
author = {Bahador Rashidi and
Kerrick Johnstonbaugh and
Chao Gao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3502--3510},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/rashidi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RashidiJG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RegolC24,
author = {Florence Regol and
Mark Coates},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Categorical Generative Model Evaluation via Synthetic Distribution
Coarsening},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {910--918},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/regol24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RegolC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ReicheltOR24,
author = {Tim Reichelt and
Luke Ong and
Tom Rainforth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Beyond Bayesian Model Averaging over Paths in Probabilistic Programs
with Stochastic Support},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {829--837},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/reichelt24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ReicheltOR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ReisizadehGO24,
author = {Amirhossein Reisizadeh and
Khashayar Gatmiry and
Asuman E. Ozdaglar},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{EM} for Mixture of Linear Regression with Clustered Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2341--2349},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/reisizadeh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ReisizadehGO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Ren0Y24,
author = {Yinuo Ren and
Chao Ma and
Lexing Ying},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Understanding the Generalization Benefits of Late Learning Rate Decay},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4465--4473},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ren24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Ren0Y24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RenX0GZ24,
author = {Yixin Ren and
Yewei Xia and
Hao Zhang and
Jihong Guan and
Shuigeng Zhou},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Adaptive Kernels for Statistical Independence Tests},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2494--2502},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ren24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RenX0GZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RenXGRRYS24,
author = {Yinuo Ren and
Tesi Xiao and
Tanmay Gangwani and
Anshuka Rangi and
Holakou Rahmanian and
Lexing Ying and
Subhajit Sanyal},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3862--3870},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ren24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RenXGRRYS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RichardBP24,
author = {Hugo Richard and
Etienne Boursier and
Vianney Perchet},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits
with Limited Communication},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {388--396},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/richard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RichardBP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Rizvi-MartelLLR24,
author = {Michael Rizvi{-}Martel and
Maude Lizaire and
Clara Lacroce and
Guillaume Rabusseau},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Simulating weighted automata over sequences and trees with transformers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2368--2376},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/rizvi-martel24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Rizvi-MartelLLR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Robert-Nicoud0B24,
author = {Daniel Robert{-}Nicoud and
Andreas Krause and
Viacheslav Borovitskiy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Intrinsic Gaussian Vector Fields on Manifolds},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1306--1314},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/robert-nicoud24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Robert-Nicoud0B24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Roddenberry0S24,
author = {T. Mitchell Roddenberry and
Yu Zhu and
Santiago Segarra},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {An Impossibility Theorem for Node Embedding},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2422--2430},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/mitchell-roddenberry24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Roddenberry0S24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RosselliniBW24,
author = {Raphael Rossellini and
Rina Foygel Barber and
Rebecca Willett},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Integrating Uncertainty Awareness into Conformalized Quantile Regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1540--1548},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/rossellini24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RosselliniBW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RuanWWW24,
author = {Xinrui Ruan and
Jingshen Wang and
Yingfei Wang and
Waverly Wei},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Electronic Medical Records Assisted Digital Clinical Trial Design},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2836--2844},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ruan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RuanWWW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/RudnerZWK24,
author = {Tim G. J. Rudner and
Ya Shi Zhang and
Andrew Gordon Wilson and
Julia Kempe},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Mind the {GAP:} Improving Robustness to Subpopulation Shifts with
Group-Aware Priors},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {127--135},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/rudner24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/RudnerZWK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Rugamer24,
author = {David R{\"{u}}gamer},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Scalable Higher-Order Tensor Product Spline Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1--9},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ruegamer24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Rugamer24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SahaFMK24,
author = {Aadirupa Saha and
Vitaly Feldman and
Yishay Mansour and
Tomer Koren},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Faster Convergence with MultiWay Preferences},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {433--441},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/saha24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SahaFMK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SahaR24,
author = {Aytijhya Saha and
Aaditya Ramdas},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Testing exchangeability by pairwise betting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4915--4923},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/saha24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SahaR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SalaudeenK24,
author = {Olawale Salaudeen and
Sanmi Koyejo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Causally Inspired Regularization Enables Domain General Representations},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3124--3132},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/salaudeen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SalaudeenK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SanderSD24,
author = {Tom Sander and
Maxime Sylvestre and
Alain Durmus},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Implicit Bias in Noisy-SGD: With Applications to Differentially Private
Training},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3295--3303},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sander24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SanderSD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SavvidesLP24,
author = {Rafael Savvides and
Hoang Phuc Hau Luu and
Kai Puolam{\"{a}}ki},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Error bounds for any regression model using Gaussian processes with
gradient information},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {397--405},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/savvides24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SavvidesLP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ScamanEBM24,
author = {Kevin Scaman and
Mathieu Even and
Batiste Le Bars and
Laurent Massouli{\'{e}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Minimax Excess Risk of First-Order Methods for Statistical Learning
with Data-Dependent Oracles},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3709--3717},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/scaman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ScamanEBM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Scieur24,
author = {Damien Scieur},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit
Global (Accelerated) Convergence Rates},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {883--891},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/scieur24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Scieur24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SebbouhCP24,
author = {Othmane Sebbouh and
Marco Cuturi and
Gabriel Peyr{\'{e}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Structured Transforms Across Spaces with Cost-Regularized Optimal
Transport},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {586--594},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sebbouh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SebbouhCP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SeptemberPGH24,
author = {Marcus A. K. September and
Francesco Sanna Passino and
Leonie Goldmann and
Anton Hinel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Extended Deep Adaptive Input Normalization for Preprocessing Time
Series Data for Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1891--1899},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/a-k-september24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SeptemberPGH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SevillaMS24,
author = {Martin Sevilla and
Antonio G. Marques and
Santiago Segarra},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Estimation of partially known Gaussian graphical models with score-based
structural priors},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1558--1566},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sevilla24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SevillaMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShakerinavaSRL24,
author = {Mehran Shakerinava and
Motahareh Sohrabi and
Siamak Ravanbakhsh and
Simon Lacoste{-}Julien},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Weight-Sharing Regularization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4204--4212},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shakerinava24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShakerinavaSRL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShankarSCMF24,
author = {Shiv Shankar and
Ritwik Sinha and
Yash Chandak and
Saayan Mitra and
Madalina Fiterau},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{A/B} testing under Interference with Partial Network Information},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {19--27},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shankar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShankarSCMF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShaoYF24,
author = {Yuda Shao and
Shan Yu and
Tianshu Feng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Nonparametric Automatic Differentiation Variational Inference with
Spline Approximation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2656--2664},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShaoYF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SharrockDN24,
author = {Louis Sharrock and
Daniel Dodd and
Christopher Nemeth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Tuning-Free Maximum Likelihood Training of Latent Variable Models
via Coin Betting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1810--1818},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sharrock24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SharrockDN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShekhtmanD24,
author = {Eliot Shekhtman and
Sarah Dean},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Strategic Usage in a Multi-Learner Setting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2665--2673},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shekhtman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShekhtmanD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShenHZS24,
author = {Wei Shen and
Minhui Huang and
Jiawei Zhang and
Cong Shen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Smoothed Gradient Descent Ascent for Federated Minimax
Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3988--3996},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shen24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShenHZS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShenJMG24,
author = {Yan Shen and
Zhanghexuan Ji and
Chunwei Ma and
Mingchen Gao},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Continual Domain Adversarial Adaptation via Double-Head Discriminators},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2584--2592},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShenJMG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShenP24,
author = {Jianwei Shen and
Jason Pacheco},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Variational Sequential Information Control},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3907--3915},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shen24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShenP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShiBP24,
author = {Zhaoyang Shi and
Krishna Balasubramanian and
Wolfgang Polonik},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap
based nonparametric regression},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2800--2808},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shi24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShiBP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShiM24,
author = {Changhao Shi and
Gal Mishne},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Cartesian Product Graphs with Laplacian Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2521--2529},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShiM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShingakiK24,
author = {Ryusei Shingaki and
Manabu Kuroki},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Identification and Estimation of "Causes of Effects" using Covariate-Mediator
Information},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3574--3582},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shingaki24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShingakiK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShowalterBSS24,
author = {Samuel Showalter and
Alex J. Boyd and
Padhraic Smyth and
Mark Steyvers},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Bayesian Online Learning for Consensus Prediction},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2539--2547},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/showalter24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShowalterBSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ShuklaGD24,
author = {Prarabdh Shukla and
Gagan Raj Gupta and
Kunal Dutta},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {DiffRed: Dimensionality reduction guided by stable rank},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3430--3438},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shukla24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ShuklaGD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SimaWMS24,
author = {Jin Sima and
Changlong Wu and
Olgica Milenkovic and
Wojciech Szpankowski},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online Distribution Learning with Local Privacy Constraints},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {460--468},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sima24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SimaWMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Smith0R24,
author = {Freddie Bickford Smith and
Adam Foster and
Tom Rainforth},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Making Better Use of Unlabelled Data in Bayesian Active Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {847--855},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/bickford-smith24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Smith0R24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SoT24,
author = {Jonathan So and
Richard E. Turner},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimising Distributions with Natural Gradient Surrogates},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2224--2232},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/so24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SoT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SohnSL24,
author = {Jinwon Sohn and
Qifan Song and
Guang Lin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fair Supervised Learning with {A} Simple Random Sampler of Sensitive
Attributes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1594--1602},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sohn24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SohnSL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SouvetonGJLM24,
author = {Vincent Souveton and
Arnaud Guillin and
Jens Jasche and
Guilhem Lavaux and
Manon Michel},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability
and reduced complexity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3178--3186},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/souveton24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SouvetonGJLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/StempfleJ24,
author = {Lena Stempfle and
Fredrik D. Johansson},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{MINTY:} Rule-based models that minimize the need for imputing features
with missing values},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {964--972},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/stempfle24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/StempfleJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Sun0O0R24,
author = {Yiyang Sun and
Zhi Chen and
Vittorio Orlandi and
Tong Wang and
Cynthia Rudin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sparse and Faithful Explanations Without Sparse Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2071--2079},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sun24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Sun0O0R24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SunNW24,
author = {Zhenyu Sun and
Xiaochun Niu and
Ermin Wei},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Understanding Generalization of Federated Learning via Stability:
Heterogeneity Matters},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {676--684},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/sun24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SunNW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SuttleSKS00S24,
author = {Wesley Suttle and
Vipul Kumar Sharma and
Krishna Chaitanya Kosaraju and
Seetharaman Sivaranjani and
Ji Liu and
Vijay Gupta and
Brian M. Sadler},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical
Systems},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4420--4428},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/suttle24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SuttleSKS00S24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/SzlendakGR24,
author = {Rafal Szlendak and
Elnur Gasanov and
Peter Richt{\'{a}}rik},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Understanding Progressive Training Through the Framework of Randomized
Coordinate Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2161--2169},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/szlendak24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/SzlendakGR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TailorPVMN24,
author = {Dharmesh Tailor and
Aditya Patra and
Rajeev Verma and
Putra Manggala and
Eric T. Nalisnick},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning to Defer to a Population: {A} Meta-Learning Approach},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3475--3483},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tailor24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TailorPVMN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TakemoriUG24,
author = {Sho Takemori and
Yuhei Umeda and
Aditya Gopalan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Model-Based Best Arm Identification for Decreasing Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1567--1575},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/takemori24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TakemoriUG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TamasSC24,
author = {Ambrus Tam{\'{a}}s and
Szabolcs Szentp{\'{e}}teri and
Bal{\'{a}}zs Csan{\'{a}}d Cs{\'{a}}ji},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Data-Driven Confidence Intervals with Optimal Rates for the Mean of
Heavy-Tailed Distributions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3439--3447},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tamas24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TamasSC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TanGN24,
author = {Rayen Tan and
Rohan Ghuge and
Viswanath Nagarajan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Informative Path Planning with Limited Adaptivity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4006--4014},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TanGN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TangWZ24,
author = {Yifu Tang and
Yingfei Wang and
Zeyu Zheng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3043--3051},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tang24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TangWZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TangXFWZB24,
author = {Haoyue Tang and
Tian Xie and
Aosong Feng and
Hanyu Wang and
Chenyang Zhang and
Yang Bai},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Solving General Noisy Inverse Problem via Posterior Sampling: {A}
Policy Gradient Viewpoint},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2116--2124},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tang24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TangXFWZB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TangY24,
author = {Rong Tang and
Yun Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Adaptivity of Diffusion Models to Manifold Structures},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1648--1656},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TangY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TanneruAL24,
author = {Sree Harsha Tanneru and
Chirag Agarwal and
Himabindu Lakkaraju},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Quantifying Uncertainty in Natural Language Explanations of Large
Language Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1072--1080},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/harsha-tanneru24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TanneruAL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TarzanaghNH0B24,
author = {Davoud Ataee Tarzanagh and
Parvin Nazari and
Bojian Hou and
Li Shen and
Laura Balzano},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online Bilevel Optimization: Regret Analysis of Online Alternating
Gradient Methods},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2854--2862},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ataee-tarzanagh24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TarzanaghNH0B24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TatliCV24,
author = {Gokcan Tatli and
Yi Chen and
Ramya Korlakai Vinayak},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Populations of Preferences via Pairwise Comparison Queries},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1720--1728},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tatli24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TatliCV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TebbeZSLM24,
author = {J{\"{o}}rn Tebbe and
Christoph Zimmer and
Ansgar Steland and
Markus Lange{-}Hegermann and
Fabian Mies},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficiently Computable Safety Bounds for Gaussian Processes in Active
Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1333--1341},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tebbe24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TebbeZSLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ThielmannKKS24,
author = {Anton Frederik Thielmann and
Ren{\'{e}}{-}Marcel Kruse and
Thomas Kneib and
Benjamin S{\"{a}}fken},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Neural Additive Models for Location Scale and Shape: {A} Framework
for Interpretable Neural Regression Beyond the Mean},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1783--1791},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/frederik-thielmann24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ThielmannKKS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ThompsonBK24,
author = {Ryan Thompson and
Edwin V. Bonilla and
Robert Kohn},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Contextual Directed Acyclic Graphs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2872--2880},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/thompson24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ThompsonBK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TiapkinMNV24,
author = {Daniil Tiapkin and
Nikita Morozov and
Alexey Naumov and
Dmitry P. Vetrov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Generative Flow Networks as Entropy-Regularized {RL}},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4213--4221},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tiapkin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TiapkinMNV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TighineanuGBSFV24,
author = {Petru Tighineanu and
Lukas Grossberger and
Paul Baireuther and
Kathrin Skubch and
Stefan Falkner and
Julia Vinogradska and
Felix Berkenkamp},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Scalable Meta-Learning with Gaussian Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1981--1989},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tighineanu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TighineanuGBSFV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Tran24,
author = {Phi Vu Tran},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {LEDetection: {A} Simple Framework for Semi-Supervised Few-Shot Object
Detection},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {640--648},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/vu-tran24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Tran24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TrangNLVRH24,
author = {Thuan Anh Trang and
Nhat Khang Ngo and
Daniel T. Levy and
Ngoc Thieu Vo and
Siamak Ravanbakhsh and
Truong Son Hy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {E(3)-Equivariant Mesh Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {748--756},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/anh-trang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TrangNLVRH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TraugerT24,
author = {Jacob Trauger and
Ambuj Tewari},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Sequence Length Independent Norm-Based Generalization Bounds for Transformers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1405--1413},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/trauger24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TraugerT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TsaiCL24,
author = {Chung{-}En Tsai and
Hao{-}Chung Cheng and
Yen{-}Huan Li},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fast Minimization of Expected Logarithmic Loss via Stochastic Dual
Averaging},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2908--2916},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tsai24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TsaiCL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TsaiPSCKDKG24,
author = {Katherine Tsai and
Stephen R. Pfohl and
Olawale Salaudeen and
Nicole Chiou and
Matt J. Kusner and
Alexander D'Amour and
Sanmi Koyejo and
Arthur Gretton},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Proxy Methods for Domain Adaptation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3961--3969},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tsai24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TsaiPSCKDKG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Tsiourvas0P24,
author = {Asterios Tsiourvas and
Wei Sun and
Georgia Perakis},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Manifold-Aligned Counterfactual Explanations for Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3763--3771},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tsiourvas24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Tsiourvas0P24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/TsoyMTK24,
author = {Nikita Tsoy and
Anna Mihalkova and
Teodora N. Todorova and
Nikola Konstantinov},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Provable Mutual Benefits from Federated Learning in Privacy-Sensitive
Domains},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4798--4806},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/tsoy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/TsoyMTK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VadoriS24,
author = {Nelson Vadori and
Rahul Savani},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Ordinal Potential-based Player Rating},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {118--126},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/vadori24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VadoriS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VariciAST24,
author = {Burak Varici and
Emre Acart{\"{u}}rk and
Karthikeyan Shanmugam and
Ali Tajer},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {General Identifiability and Achievability for Causal Representation
Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2314--2322},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/varici24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VariciAST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VeeduDS24,
author = {Mishfad Shaikh Veedu and
Deepjyoti Deka and
Murti V. Salapaka},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Information Theoretically Optimal Sample Complexity of Learning Dynamical
Directed Acyclic Graphs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4636--4644},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/shaikh-veedu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VeeduDS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VelychkoDFL24,
author = {Dmytro Velychko and
Simon Damm and
Asja Fischer and
J{\"{o}}rg L{\"{u}}cke},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Sparse Codes with Entropy-Based ELBOs},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2089--2097},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/velychko24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VelychkoDFL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VerinePNC24,
author = {Alexandre Verine and
Muni Sreenivas Pydi and
Benjamin N{\'{e}}grevergne and
Yann Chevaleyre},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimal Budgeted Rejection Sampling for Generative Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3367--3375},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/verine24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VerinePNC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VermaAS24,
author = {Prakhar Verma and
Vincent Adam and
Arno Solin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Variational Gaussian Process Diffusion Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1909--1917},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/verma24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VermaAS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ViallardEHMZ24,
author = {Paul Viallard and
R{\'{e}}mi Emonet and
Amaury Habrard and
Emilie Morvant and
Valentina Zantedeschi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization
Bounds with Complexity Measures},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3007--3015},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/viallard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ViallardEHMZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VilucchioTEK24,
author = {Matteo Vilucchio and
Emanuele Troiani and
Vittorio Erba and
Florent Krzakala},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Asymptotic Characterisation of the Performance of Robust Linear Regression
in the Presence of Outliers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {811--819},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/vilucchio24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VilucchioTEK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VishwakarmaLV24,
author = {Harit Vishwakarma and
Heguang Lin and
Ramya Korlakai Vinayak},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Taming False Positives in Out-of-Distribution Detection with Human
Feedback},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1486--1494},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/vishwakarma24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VishwakarmaLV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Vlatakis-Gkaragkounis24,
author = {Emmanouil{-}Vasileios Vlatakis{-}Gkaragkounis and
Angeliki Giannou and
Yudong Chen and
Qiaomin Xie},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Stochastic Methods in Variational Inequalities: Ergodicity, Bias and
Refinements},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4123--4131},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/vasileios-vlatakis-gkaragkounis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Vlatakis-Gkaragkounis24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/VuNJT24,
author = {Minh N. Vu and
Truc D. T. Nguyen and
Tre' R. Jeter and
My T. Thai},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Analysis of Privacy Leakage in Federated Large Language Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1423--1431},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/vu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/VuNJT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WagnerKO24,
author = {Dominik Wagner and
Basim Khajwal and
Luke Ong},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Diagonalisation {SGD:} Fast {\&} Convergent {SGD} for Non-Differentiable
Models via Reparameterisation and Smoothing},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1801--1809},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wagner24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WagnerKO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WaldchenSTZP24,
author = {Stephan W{\"{a}}ldchen and
Kartikey Sharma and
Berkant Turan and
Max Zimmer and
Sebastian Pokutta},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Interpretability Guarantees with Merlin-Arthur Classifiers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1963--1971},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/waldchen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WaldchenSTZP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Wang024,
author = {Yipei Wang and
Xiaoqian Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Effect of Key Factors in Spurious Correlation: {A} theoretical
Perspective},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3745--3753},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24i.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Wang024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Wang0M24,
author = {Chaoqi Wang and
Yuxin Chen and
Kevin Murphy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Model-based Policy Optimization under Approximate Bayesian Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3250--3258},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24f.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Wang0M24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangBAJ24,
author = {Serena Lutong Wang and
Stephen Bates and
P. M. Aronow and
Michael I. Jordan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On Counterfactual Metrics for Social Welfare: Incentives, Ranking,
and Information Asymmetry},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1522--1530},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangBAJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangDKT24,
author = {Xiaoyang Wang and
Dimitrios Dimitriadis and
Sanmi Koyejo and
Shruti Tople},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Invariant Aggregator for Defending against Federated Backdoor Attacks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2728--2736},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangDKT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangGD24,
author = {Xi Wang and
Tomas Geffner and
Justin Domke},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Joint control variate for faster black-box variational inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1639--1647},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangGD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangGTA024,
author = {Yuhao Wang and
Ming Gao and
Wai Ming Tai and
Bryon Aragam and
Arnab Bhattacharyya},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimal estimation of Gaussian (poly)trees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3619--3627},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24h.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangGTA024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangKS24,
author = {Lequn Wang and
Akshay Krishnamurthy and
Alex Slivkins},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual
Bandits},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {766--774},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangKS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangLSA24,
author = {Liwei Wang and
Xinru Liu and
Aaron Smith and
Aguemon Y. Atchad{\'{e}}},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On cyclical {MCMC} sampling},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3817--3825},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24j.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangLSA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangM024,
author = {Jiachen T. Wang and
Prateek Mittal and
Ruoxi Jia},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Efficient Data Shapley for Weighted Nearest Neighbor Algorithms},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2557--2565},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/t-wang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangM024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangSH24,
author = {Yutong Wang and
Rishi Sonthalia and
Wei Hu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation
and Generalization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4483--4491},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24k.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangSH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangSJ24,
author = {Jiulin Wang and
Xu Shi and
Rujun Jiang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2008--2016},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangSJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WangYM024,
author = {Chaoqi Wang and
Ziyu Ye and
Kevin Murphy and
Yuxin Chen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Don't Be Pessimistic Too Early: Look {K} Steps Ahead!},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3313--3321},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wang24g.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WangYM024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WardZC24,
author = {Joshua John Ward and
Xianli Zeng and
Guang Cheng},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {FairRR: Pre-Processing for Group Fairness through Randomized Response},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3826--3834},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/john-ward24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WardZC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Warren024,
author = {Houston Warren and
Fabio Ramos},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fast Fourier Bayesian Quadrature},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4555--4563},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/warren24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Warren024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WenCC24,
author = {Tao Wen and
Elynn Chen and
Yuzhou Chen},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Tensor-view Topological Graph Neural Network},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4330--4338},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WenCC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WeselB24,
author = {Frederiek Wesel and
Kim Batselier},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Quantized Fourier and Polynomial Features for more Expressive Tensor
Network Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1261--1269},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wesel24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WeselB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WrightNM24,
author = {Oren Wright and
Yorie Nakahira and
Jos{\'{e}} M. F. Moura},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {An Analytic Solution to Covariance Propagation in Neural Networks},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4087--4095},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wright24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WrightNM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Wu24,
author = {Tong Wu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust Data Clustering with Outliers via Transformed Tensor Low-Rank
Representation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1756--1764},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Wu24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuGMQ24,
author = {Daoping Wu and
Suhas Gundimeda and
Shaoshuai Mou and
Christopher J. Quinn},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Unsupervised Change Point Detection in Multivariate Time Series},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3844--3852},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24g.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuGMQ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuIK0LAMY24,
author = {Dongxia Wu and
Tsuyoshi Id{\'{e}} and
Georgios Kollias and
Jir{\'{\i}} Navr{\'{a}}til and
Aur{\'{e}}lie C. Lozano and
Naoki Abe and
Yian Ma and
Rose Yu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Granger Causality from Instance-wise Self-attentive Hawkes
Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {415--423},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuIK0LAMY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuKR24,
author = {Weichen Wu and
Jisu Kim and
Alessandro Rinaldo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the estimation of persistence intensity functions and linear representations
of persistence diagrams},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3610--3618},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24f.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuKR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuL24,
author = {Mohan Wu and
Martin Lysy},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Data-Adaptive Probabilistic Likelihood Approximation for Ordinary
Differential Equations},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1018--1026},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuW24,
author = {Luhuan Wu and
Sinead A. Williamson},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Posterior Uncertainty Quantification in Neural Networks using Data
Augmentation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3376--3384},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/WuWJPG24,
author = {Kaiwen Wu and
Jonathan Wenger and
Haydn T. Jones and
Geoff Pleiss and
Jacob Gardner},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Large-Scale Gaussian Processes via Alternating Projection},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2620--2628},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wu24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/WuWJPG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Wycoff24,
author = {Nathan Wycoff},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Surrogate Active Subspaces for Jump-Discontinuous Functions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4618--4626},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/wycoff24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Wycoff24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/XiangJX24,
author = {Xunzhi Xiang and
Kun Jing and
Jungang Xu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {A Neural Architecture Predictor based on GNN-Enhanced Transformer},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1729--1737},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xiang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/XiangJX24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/XieLV24,
author = {Liyan Xie and
Yuchen Liang and
Venugopal V. Veeravalli},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Distributionally Robust Quickest Change Detection using Wasserstein
Uncertainty Sets},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1063--1071},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xie24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/XieLV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/XiongCFJJ24,
author = {Zhihan Xiong and
Romain Camilleri and
Maryam Fazel and
Lalit Jain and
Kevin G. Jamieson},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{A/B} Testing and Best-arm Identification for Linear Bandits with
Robustness to Non-stationarity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1585--1593},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xiong24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/XiongCFJJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/XuR24,
author = {Ziyu Xu and
Aaditya Ramdas},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online multiple testing with e-values},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3997--4005},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/XuR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/XuWFYQ24,
author = {Siyuan Xu and
Yucheng Wang and
Mingzhou Fan and
Byung{-}Jun Yoon and
Xiaoning Qian},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Uncertainty-aware Continuous Implicit Neural Representations for Remote
Sensing Object Counting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4105--4113},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/xu24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/XuWFYQ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YamadaKAI24,
author = {Hakuei Yamada and
Junpei Komiyama and
Kenshi Abe and
Atsushi Iwasaki},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Fair Division from Bandit Feedback},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3106--3114},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yamada24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YamadaKAI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YanWKST24,
author = {Zirui Yan and
Dennis Wei and
Dmitriy A. Katz and
Prasanna Sattigeri and
Ali Tajer},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Causal Bandits with General Causal Models and Interventions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4609--4617},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yan24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YanWKST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YangBI24,
author = {Maosheng Yang and
Viacheslav Borovitskiy and
Elvin Isufi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Hodge-Compositional Edge Gaussian Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3754--3762},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yang24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YangBI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YangBKB24,
author = {Fan Yang and
Pierre Le Bodic and
Michael Kamp and
Mario Boley},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1117--1125},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yang24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YangBKB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YangHNT24,
author = {Haoming Yang and
Ali Hasan and
Yuting Ng and
Vahid Tarokh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion
Processes},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {262--270},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YangHNT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YangSK24,
author = {Yuqin Yang and
Saber Salehkaleybar and
Negar Kiyavash},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Unknown Intervention Targets in Structural Causal Models
from Heterogeneous Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3187--3195},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yang24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YangSK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YaoBD24,
author = {Yuling Yao and
Bruno R{\'{e}}galdo{-}Saint Blancard and
Justin Domke},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Simulation-Based Stacking},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4267--4275},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yao24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YaoBD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YaoHY24,
author = {Rentian Yao and
Linjun Huang and
Yun Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Minimizing Convex Functionals over Space of Probability Measures via
{KL} Divergence Gradient Flow},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2530--2538},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YaoHY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YeJ24,
author = {Zeqi Ye and
Hansheng Jiang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1675--1683},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ye24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YeJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YePCA24,
author = {Zhenzhang Ye and
Gabriel Peyr{\'{e}} and
Daniel Cremers and
Pierre Ablin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Enhancing Hypergradients Estimation: {A} Study of Preconditioning
and Reparameterization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {955--963},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/ye24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YePCA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YiL24,
author = {Soheun Yi and
Sanghack Lee},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical
Models},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1135--1143},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YiL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YoshikawaI24,
author = {Yuya Yoshikawa and
Tomoharu Iwata},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Explanation-based Training with Differentiable Insertion/Deletion
Metric-aware Regularizers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {370--378},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yoshikawa24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YoshikawaI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/YuHSGK24,
author = {Hanlin Yu and
Marcelo Hartmann and
Bernardo Williams Moreno Sanchez and
Mark Girolami and
Arto Klami},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Riemannian Laplace Approximation with the Fisher Metric},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {820--828},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/YuHSGK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZagattiNB24,
author = {Guilherme Augusto Zagatti and
See{-}Kiong Ng and
St{\'{e}}phane Bressan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning multivariate temporal point processes via the time-change
theorem},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3241--3249},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/augusto-zagatti24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZagattiNB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZakeriniaTNA24,
author = {Hossein Zakerinia and
Shayan Talaei and
Giorgi Nadiradze and
Dan Alistarh},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Communication-Efficient Federated Learning With Data and Client Heterogeneity},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3448--3456},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zakerinia24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZakeriniaTNA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZengLHLH24,
author = {Xiangyu Zeng and
Jie Lin and
Piao Hu and
Zhihao Li and
Tianxi Huang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {{SDMTR:} {A} Brain-inspired Transformer for Relation Inference},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3259--3267},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zeng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZengLHLH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhaiGGKD24,
author = {Alex Zhai and
Dee Guo and
Sreenivas Gollapudi and
Kostas Kollias and
Daniel Delling},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Deep Learning-Based Alternative Route Computation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4078--4086},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhai24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhaiGGKD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhaiSHC024,
author = {Zhou Zhai and
Wanli Shi and
Heng Huang and
Yi Chang and
Bin Gu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order
Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1162--1170},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhai24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhaiSHC024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Zhang024,
author = {Mingyuan Zhang and
Shivani Agarwal},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multiclass Learning from Noisy Labels for Non-decomposable Performance
Measures},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2170--2178},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24e.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Zhang024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangDS24,
author = {Jiaxin Zhang and
Kamalika Das and
Kumar Sricharan},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Discriminant Distance-Aware Representation on Deterministic Uncertainty
Quantification Methods},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2917--2925},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24h.html},
timestamp = {Mon, 08 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangDS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangHZH24,
author = {Siqi Zhang and
Yifan Hu and
Liang Zhang and
Niao He},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax
Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {694--702},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangHZH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangL24,
author = {Mengxiao Zhang and
Haipeng Luo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Online Learning in Contextual Second-Price Pay-Per-Click Auctions},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2395--2403},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24f.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangLL24,
author = {Zhi Zhang and
Weijian Li and
Han Liu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multivariate Time Series Forecasting By Graph Attention Networks With
Theoretical Guarantees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2845--2853},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24g.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangLL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangMP0C24,
author = {Yitian Zhang and
Liheng Ma and
Soumyasundar Pal and
Yingxue Zhang and
Mark Coates},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-resolution Time-Series Transformer for Long-term Forecasting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {4222--4230},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24l.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangMP0C24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangMSS24,
author = {Zhi Zhang and
Chenyu Ma and
Saleh Soudijani and
Sadegh Soudjani},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Formal Verification of Unknown Stochastic Systems via Non-parametric
Estimation},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3277--3285},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24i.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangMSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangSU24,
author = {Jiaqi Zhang and
Kirankumar Shiragur and
Caroline Uhler},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Membership Testing in Markov Equivalence Classes via Independence
Queries},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3925--3933},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24k.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangSU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangW24,
author = {Wei Zhang and
Zhenni Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Restricted Isometry Property of Rank-One Measurements with Random
Unit-Modulus Vectors},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1900--1908},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24d.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangXSR24,
author = {Rui Zhang and
Rui Xin and
Margo I. Seltzer and
Cynthia Rudin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Optimal Sparse Survival Trees},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {352--360},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangXSR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangY24,
author = {Zhenyu Zhang and
JiuDong Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {HintMiner: Automatic Question Hints Mining From Q{\&}A Web Posts
with Language Model via Self-Supervised Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {271--279},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhangZC24,
author = {Jialun Zhang and
Richard Y. Zhang and
Hong{-}Ming Chiu},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements
via Preconditioned Non-Convex Gradient Descent},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3772--3780},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhang24j.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhangZC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhaoCJY24,
author = {Pan Zhao and
Antoine Chambaz and
Julie Josse and
Shu Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Positivity-free Policy Learning with Observational Data},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {1918--1926},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhaoCJY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhaoMY24,
author = {Wenbo Zhao and
Zitong Ma and
Zhe Yang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {DHMConv: Directed Hypergraph Momentum Convolution Framework},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3385--3393},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhao24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhaoMY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Zheng0ML24,
author = {Haoyang Zheng and
Wei Deng and
Christian Moya and
Guang Lin},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Accelerating Approximate Thompson Sampling with Underdamped Langevin
Monte Carlo},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2611--2619},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zheng24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Zheng0ML24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Zheng0QWW24,
author = {Amber Yijia Zheng and
Tong He and
Yixuan Qiu and
Minjie Wang and
David Wipf},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Graph Machine Learning through the Lens of Bilevel Optimization},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {982--990},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/yijia-zheng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Zheng0QWW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhengCS24,
author = {Vincent Zhihao Zheng and
Seongjin Choi and
Lijun Sun},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Better Batch for Deep Probabilistic Time Series Forecasting},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {91--99},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zheng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhengCS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Zhou24,
author = {Angela Zhou},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Reward-Relevance-Filtered Linear Offline Reinforcement Learning},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3025--3033},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhou24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Zhou24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhouHACL24,
author = {Helen Zhou and
Audrey Huang and
Kamyar Azizzadenesheli and
David Childers and
Zachary C. Lipton},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Timing as an Action: Learning When to Observe and Act},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {3979--3987},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhou24c.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhouHACL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhouY024,
author = {Cai Zhou and
Rose Yu and
Yusu Wang},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {On the Theoretical Expressive Power and the Design Space of Higher-Order
Graph Transformers},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2179--2187},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhou24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhouY024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZhuWQLS24,
author = {Jin Zhu and
Runzhe Wan and
Zhengling Qi and
Shikai Luo and
Chengchun Shi},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Robust Offline Reinforcement Learning with Heavy-Tailed Rewards},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {541--549},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zhu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZhuWQLS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZimermanW24,
author = {Itamar Zimerman and
Lior Wolf},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Multi-Dimensional Hyena for Spatial Inductive Bias},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {973--981},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zimerman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZimermanW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/Zuo24,
author = {Shiliang Zuo},
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses
with Smoothed Responses},
booktitle = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
pages = {2098--2106},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v238/zuo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/Zuo24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/0001C24,
author = {Hang Liao and
Deeparnab Chakrabarty},
editor = {Claire Vernade and
Daniel Hsu},
title = {Learning Spanning Forests Optimally in Weighted Undirected Graphs
with {CUT} queries},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {785--807},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/liao24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/0001C24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/AbernethyAMW24,
author = {Jacob D. Abernethy and
Alekh Agarwal and
Teodor Vanislavov Marinov and
Manfred K. Warmuth},
editor = {Claire Vernade and
Daniel Hsu},
title = {A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval
Tasks},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {3--46},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/abernethy24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/AbernethyAMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/AfzaliAL24,
author = {Mohammad Afzali and
Hassan Ashtiani and
Christopher Liaw},
editor = {Claire Vernade and
Daniel Hsu},
title = {Mixtures of Gaussians are Privately Learnable with a Polynomial Number
of Samples},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {47--73},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/afzali24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/AfzaliAL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/AgrawalMBM24,
author = {Shubhada Agrawal and
Timoth{\'{e}}e Mathieu and
Debabrota Basu and
Odalric{-}Ambrym Maillard},
editor = {Claire Vernade and
Daniel Hsu},
title = {{CRIMED:} Lower and Upper Bounds on Regret for Bandits with Unbounded
Stochastic Corruption},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {74--124},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/agrawal24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/AgrawalMBM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/AwasthiKP24,
author = {Pranjal Awasthi and
Satyen Kale and
Ankit Pensia},
editor = {Claire Vernade and
Daniel Hsu},
title = {Semi-supervised Group {DRO:} Combating Sparsity with Unlabeled Data},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {125--160},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/awasthi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/AwasthiKP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BiggarS24,
author = {Oliver Biggar and
Iman Shames},
editor = {Claire Vernade and
Daniel Hsu},
title = {The Attractor of the Replicator Dynamic in Zero-Sum Games},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {161--178},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/biggar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BiggarS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BlanchardV24,
author = {Mo{\"{\i}}se Blanchard and
V{\'{a}}clav Vor{\'{a}}cek},
editor = {Claire Vernade and
Daniel Hsu},
title = {Tight Bounds for Local Glivenko-Cantelli},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {179--220},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/blanchard24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BlanchardV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BlumGLMSY24,
author = {Avrim Blum and
Meghal Gupta and
Gene Li and
Naren Sarayu Manoj and
Aadirupa Saha and
Yuanyuan Yang},
editor = {Claire Vernade and
Daniel Hsu},
title = {Dueling Optimization with a Monotone Adversary},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {221--243},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/blum24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BlumGLMSY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BrownA24,
author = {William Brown and
Arpit Agarwal},
editor = {Claire Vernade and
Daniel Hsu},
title = {Online Recommendations for Agents with Discounted Adaptive Preferences},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {244--281},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/brown24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BrownA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BrugereW024,
author = {Tristan Brug{\`{e}}re and
Zhengchao Wan and
Yusu Wang},
editor = {Claire Vernade and
Daniel Hsu},
title = {Distances for Markov Chains, and Their Differentiation},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {282--336},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/brugere24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BrugereW024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BrunelS24,
author = {Victor{-}Emmanuel Brunel and
Jordan Serres},
editor = {Claire Vernade and
Daniel Hsu},
title = {Concentration of empirical barycenters in metric spaces},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {337--361},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/brunel24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BrunelS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Bun0MS24,
author = {Mark Bun and
Gautam Kamath and
Argyris Mouzakis and
Vikrant Singhal},
editor = {Claire Vernade and
Daniel Hsu},
title = {Not All Learnable Distribution Classes are Privately Learnable},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {390--401},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/bun24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Bun0MS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/BunCD24,
author = {Mark Bun and
Aloni Cohen and
Rathin Desai},
editor = {Claire Vernade and
Daniel Hsu},
title = {Private {PAC} Learning May be Harder than Online Learning},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {362--389},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/bun24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/BunCD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/ChooY0C24,
author = {Davin Choo and
Joy Qiping Yang and
Arnab Bhattacharyya and
Cl{\'{e}}ment L. Canonne},
editor = {Claire Vernade and
Daniel Hsu},
title = {Learning bounded-degree polytrees with known skeleton},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {402--443},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/choo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/ChooY0C24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/CroissantA024,
author = {Lorenzo Croissant and
Marc Abeille and
Bruno Bouchard},
editor = {Claire Vernade and
Daniel Hsu},
title = {Near-continuous time Reinforcement Learning for continuous state-action
spaces},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {444--498},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/croissant24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/CroissantA024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/DabagiaPV24,
author = {Max Dabagia and
Christos H. Papadimitriou and
Santosh S. Vempala},
editor = {Claire Vernade and
Daniel Hsu},
title = {Computation with Sequences of Assemblies in a Model of the Brain},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {499--504},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/dabagia24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/DabagiaPV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/DanielyG24,
author = {Amit Daniely and
Elad Granot},
editor = {Claire Vernade and
Daniel Hsu},
title = {On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise
Lipschitz Activation},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {505--517},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/daniely24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/DanielyG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/DanielySY24,
author = {Amit Daniely and
Mariano Schain and
Gilad Yehudai},
editor = {Claire Vernade and
Daniel Hsu},
title = {RedEx: Beyond Fixed Representation Methods via Convex Optimization},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {518--543},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/daniely24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/DanielySY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/DevulapalliH24,
author = {Pramith Devulapalli and
Steve Hanneke},
editor = {Claire Vernade and
Daniel Hsu},
title = {The Dimension of Self-Directed Learning},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {544--573},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/devulapalli24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/DevulapalliH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/FallatMMZ24,
author = {Shaun M. Fallat and
Valerii Maliuk and
Seyed Ahmad Mojallal and
Sandra Zilles},
editor = {Claire Vernade and
Daniel Hsu},
title = {Learning Hypertrees From Shortest Path Queries},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {574--589},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/fallat24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/FallatMMZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/FrostLMM24,
author = {Nave Frost and
Zachary C. Lipton and
Yishay Mansour and
Michal Moshkovitz},
editor = {Claire Vernade and
Daniel Hsu},
title = {Partially Interpretable Models with Guarantees on Coverage and Accuracy},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {590--613},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/frost24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/FrostLMM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/GabbianelliNP24,
author = {Germano Gabbianelli and
Gergely Neu and
Matteo Papini},
editor = {Claire Vernade and
Daniel Hsu},
title = {Importance-Weighted Offline Learning Done Right},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {614--634},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/gabbianelli24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/GabbianelliNP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/HannekeKK24,
author = {Steve Hanneke and
Aryeh Kontorovich and
Guy Kornowski},
editor = {Claire Vernade and
Daniel Hsu},
title = {Efficient Agnostic Learning with Average Smoothness},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {719--731},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/hanneke24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/HannekeKK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/KarbasiL24,
author = {Amin Karbasi and
Kasper Green Larsen},
editor = {Claire Vernade and
Daniel Hsu},
title = {The Impossibility of Parallelizing Boosting},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {635--653},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/karbasi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/KarbasiL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Karchmer24,
author = {Ari Karchmer},
editor = {Claire Vernade and
Daniel Hsu},
title = {Agnostic Membership Query Learning with Nontrivial Savings: New Results
and Techniques},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {654--682},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/karchmer24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Karchmer24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/KashRY24,
author = {Ian A. Kash and
Lev Reyzin and
Zishun Yu},
editor = {Claire Vernade and
Daniel Hsu},
title = {Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted
MDPs},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {683--718},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/kash24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/KashRY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/LiaoK24,
author = {Fangshuo Liao and
Anastasios Kyrillidis},
editor = {Claire Vernade and
Daniel Hsu},
title = {Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU
Neural Networks},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {732--784},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/liao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/LiaoK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Lu24,
author = {Zhou Lu},
editor = {Claire Vernade and
Daniel Hsu},
title = {On the Computational Benefit of Multimodal Learning},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {810--821},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/lu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Lu24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/MaoM024,
author = {Anqi Mao and
Mehryar Mohri and
Yutao Zhong},
editor = {Claire Vernade and
Daniel Hsu},
title = {Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and
Algorithms},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {822--867},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/mao24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/MaoM024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/MenartUABG24,
author = {Michael Menart and
Enayat Ullah and
Raman Arora and
Raef Bassily and
Crist{\'{o}}bal Guzm{\'{a}}n},
editor = {Claire Vernade and
Daniel Hsu},
title = {Differentially Private Non-Convex Optimization under the {KL} Condition
with Optimal Rates},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {868--906},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/menart24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/MenartUABG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/NeuOV24,
author = {Gergely Neu and
Julia Olkhovskaya and
Sattar Vakili},
editor = {Claire Vernade and
Daniel Hsu},
title = {Adversarial Contextual Bandits Go Kernelized},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {907--929},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/neu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/NeuOV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Pabbaraju24,
author = {Chirag Pabbaraju},
editor = {Claire Vernade and
Daniel Hsu},
title = {Multiclass Learnability Does Not Imply Sample Compression},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {930--944},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/pabbaraju24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Pabbaraju24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/PasterisVHGP24,
author = {Stephen Pasteris and
Fabio Vitale and
Mark Herbster and
Claudio Gentile and
Andr{\'{e}} Panisson},
editor = {Claire Vernade and
Daniel Hsu},
title = {Adversarial Online Collaborative Filtering},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {945--971},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/pasteris24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/PasterisVHGP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/PengP24,
author = {Binghui Peng and
Christos H. Papadimitriou},
editor = {Claire Vernade and
Daniel Hsu},
title = {The complexity of non-stationary reinforcement learning},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {972--996},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/peng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/PengP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/RamanRSMT24,
author = {Ananth Raman and
Vinod Raman and
Unique Subedi and
Idan Mehalel and
Ambuj Tewari},
editor = {Claire Vernade and
Daniel Hsu},
title = {Multiclass Online Learnability under Bandit Feedback},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {997--1012},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/raman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/RamanRSMT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/ShidaniV24,
author = {Amitis Shidani and
Sattar Vakili},
editor = {Claire Vernade and
Daniel Hsu},
title = {Optimal Regret Bounds for Collaborative Learning in Bandits},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1013--1029},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/shidani24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/ShidaniV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Singhal24,
author = {Vikrant Singhal},
editor = {Claire Vernade and
Daniel Hsu},
title = {A Polynomial Time, Pure Differentially Private Estimator for Binary
Product Distributions},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1030--1054},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/singhal24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Singhal24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/StojanovicDY24,
author = {Stefan Stojanovic and
Konstantin Donhauser and
Fanny Yang},
editor = {Claire Vernade and
Daniel Hsu},
title = {Tight bounds for maximum {\(\mathscr{l}\)}\({}_{\mbox{1}}\)-margin
classifiers},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1055--1112},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/stojanovic24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/StojanovicDY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/SubediRT24,
author = {Unique Subedi and
Vinod Raman and
Ambuj Tewari},
editor = {Claire Vernade and
Daniel Hsu},
title = {Online Infinite-Dimensional Regression: Learning Linear Operators},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1113--1133},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/subedi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/SubediRT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Tabaghi024,
author = {Puoya Tabaghi and
Yusu Wang},
editor = {Claire Vernade and
Daniel Hsu},
title = {Universal Representation of Permutation-Invariant Functions on Vectors
and Tensors},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1134--1187},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/tabaghi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Tabaghi024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/VerchandLP24,
author = {Kabir Aladin Verchand and
Mengqi Lou and
Ashwin Pananjady},
editor = {Claire Vernade and
Daniel Hsu},
title = {Alternating minimization for generalized rank one matrix sensing:
Sharp predictions from a random initialization},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {808--809},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/verchand24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/VerchandLP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/WeitzmanS24,
author = {Shlomi Weitzman and
Sivan Sabato},
editor = {Claire Vernade and
Daniel Hsu},
title = {Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1188--1207},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/weitzman24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/WeitzmanS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/X24,
editor = {Claire Vernade and
Daniel Hsu},
title = {Preface},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1--2},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/vernade24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/X24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/ZhangYCP24,
author = {Zhiyu Zhang and
Heng Yang and
Ashok Cutkosky and
Ioannis Ch. Paschalidis},
editor = {Claire Vernade and
Daniel Hsu},
title = {Improving Adaptive Online Learning Using Refined Discretization},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1208--1233},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/zhang24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/ZhangYCP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alt/Zuo24,
author = {Shiliang Zuo},
editor = {Claire Vernade and
Daniel Hsu},
title = {Corruption-Robust Lipschitz Contextual Search},
booktitle = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
pages = {1234--1254},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v237/zuo24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/Zuo24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/BaccoWB24,
author = {Caterina De Bacco and
Yixin Wang and
David M. Blei},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {A causality-inspired plus-minus model for player evaluation in team
sports},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {769--792},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/bacco24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/BaccoWB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/BachSCKS24,
author = {Philipp Bach and
Oliver Schacht and
Victor Chernozhukov and
Sven Klaassen and
Martin Spindler},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Hyperparameter Tuning for Causal Inference with Double Machine Learning:
{A} Simulation Study},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1065--1117},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/bach24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/BachSCKS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/BingNWR24,
author = {Simon Bing and
Urmi Ninad and
Jonas Wahl and
Jakob Runge},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Identifying Linearly-Mixed Causal Representations from Multi-Node
Interventions},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {843--867},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/bing24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/BingNWR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/BinkytePLJAP24,
author = {Ruta Binkyte and
Carlos Antonio Pinz{\'{o}}on and
Szilvia Lestyan and
Kangsoo Jung and
H{\'{e}}ber Hwang Arcolezi and
Catuscia Palamidessi},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Discovery Under Local Privacy},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {325--383},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/binkyte24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/BinkytePLJAP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/BoekenZM24,
author = {Philip A. Boeken and
Onno Zoeter and
Joris M. Mooij},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Evaluating and Correcting Performative Effects of Decision Support
Systems via Causal Domain Shift},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {551--569},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/boeken24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/BoekenZM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/CookMR24,
author = {Thomas Cook and
Alan Mishler and
Aaditya Ramdas},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Semiparametric Efficient Inference in Adaptive Experiments},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1033--1064},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/cook24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/CookMR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/CorazzaAN024,
author = {Jan Corazza and
Hadi Partovi Aria and
Daniel Neider and
Zhe Xu},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Expediting Reinforcement Learning by Incorporating Knowledge About
Temporal Causality in the Environment},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {643--664},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/corazza24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/CorazzaAN024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/CurthPN024,
author = {Alicia Curth and
Hoifung Poon and
Aditya V. Nori and
Javier Gonz{\'{a}}lez},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Cautionary Tales on Synthetic Controls in Survival Analyses},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {143--159},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/curth24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/CurthPN024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/DAcuntoBMP24,
author = {Gabriele D'Acunto and
Francesco Bonchi and
Gianmarco De Francisci Morales and
Giovanni Petri},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Extracting the Multiscale Causal Backbone of Brain Dynamics},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {265--295},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/d-textsc-char13acunto24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/DAcuntoBMP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/DaiLXPS24,
author = {Ben Dai and
Chunlin Li and
Haoran Xue and
Wei Pan and
Xiaotong Shen},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Inference of nonlinear causal effects with application to {TWAS} with
{GWAS} summary data},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {793--826},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/dai24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/DaiLXPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/DalviAH24,
author = {Abhishek Dalvi and
Neil Ashtekar and
Vasant G. Honavar},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Matching using Random Hyperplane Tessellations},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {688--702},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/dalvi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/DalviAH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/DebeireGRE24,
author = {Kevin Debeire and
Andreas Gerhardus and
Jakob Runge and
Veronika Eyring},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Bootstrap aggregation and confidence measures to improve time series
causal discovery},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {979--1007},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/debeire24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/DebeireGRE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/DettlingDK24,
author = {Philipp Dettling and
Mathias Drton and
Mladen Kolar},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {On the Lasso for Graphical Continuous Lyapunov Models},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {514--550},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/dettling24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/DettlingDK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/Du024,
author = {Kang Du and
Yu Xiang},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Low-Rank Approximation of Structural Redundancy for Self-Supervised
Learning},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1008--1032},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/du24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/Du024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/Elazar0WZS24,
author = {Yanai Elazar and
Jiayao Zhang and
David Wadden and
Bo Zhang and
Noah A. Smith},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Estimating the Causal Effect of Early ArXiving on Paper Acceptance},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {913--933},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/elazar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/Elazar0WZS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/FeigenbaumAHNYX24,
author = {Itai Feigenbaum and
Devansh Arpit and
Shelby Heinecke and
Juan Carlos Niebles and
Weiran Yao and
Caiming Xiong and
Silvio Savarese and
Huan Wang},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Layering via Conditional Entropy},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1176--1191},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/feigenbaum24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/FeigenbaumAHNYX24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/FelekisZBD24,
author = {Yorgos Felekis and
Fabio Massimo Zennaro and
Nicola Branchini and
Theodoros Damoulas},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Optimal Transport of Abstractions},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {462--498},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/felekis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/FelekisZBD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/FengSGSSKPPPX24,
author = {Jean Feng and
Adarsh Subbaswamy and
Alexej Gossmann and
Harvineet Singh and
Berkman Sahiner and
Mi{-}Ok Kim and
Gene Anthony Pennello and
Nicholas Petrick and
Romain Pirracchio and
Fan Xia},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Designing monitoring strategies for deployed machine learning algorithms:
navigating performativity through a causal lens},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {587--608},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/feng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/FengSGSSKPPPX24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/GeigerWPIG24,
author = {Atticus Geiger and
Zhengxuan Wu and
Christopher Potts and
Thomas Icard and
Noah D. Goodman},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Finding Alignments Between Interpretable Causal Variables and Distributed
Neural Representations},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {160--187},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/geiger24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/GeigerWPIG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/GoblerWDPRS24,
author = {Konstantin G{\"{o}}bler and
Tobias Windisch and
Mathias Drton and
Tim Pychynski and
Martin Roth and
Steffen Sonntag},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {extttcausalAssembly: Generating Realistic Production Data for Benchmarking
Causal Discovery},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {609--642},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/gobler24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/GoblerWDPRS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/GultchinGMCS24,
author = {Limor Gultchin and
Siyuan Guo and
Alan Malek and
Silvia Chiappa and
Ricardo Silva},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Pragmatic Fairness: Developing Policies with Outcome Disparity Control},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {243--264},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/gultchin24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/GultchinGMCS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/HardtOBKK24,
author = {Michaela Hardt and
William Roy Orchard and
Patrick Bl{\"{o}}baum and
Elke Kirschbaum and
Shiva Prasad Kasiviswanathan},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {The PetShop Dataset - Finding Causes of Performance Issues across
Microservices},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {957--978},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/hardt24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/HardtOBKK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/HattF24,
author = {Tobias Hatt and
Stefan Feuerriegel},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Sequential Deconfounding for Causal Inference with Unobserved Confounders},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {934--956},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/hatt24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/HattF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/JamshidiEK24,
author = {Fateme Jamshidi and
Jalal Etesami and
Negar Kiyavash},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Confounded Budgeted Causal Bandits},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {423--461},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/jamshidi24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/JamshidiEK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/LiuH24,
author = {Yang Liu and
Marius Hofert},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Implicit and Explicit Policy Constraints for Offline Reinforcement
Learning},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {499--513},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/liu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/LiuH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/LiuHGKBG24,
author = {Wenqin Liu and
Biwei Huang and
Erdun Gao and
Qiuhong Ke and
Howard D. Bondell and
Mingming Gong},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models:
{A} Scalable Approach},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1237--1263},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/liu24b.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/LiuHGKBG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/LopezHHPR24,
author = {Romain Lopez and
Jan{-}Christian H{\"{u}}tter and
Ehsan Hajiramezanali and
Jonathan K. Pritchard and
Aviv Regev},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Toward the Identifiability of Comparative Deep Generative Models},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {868--912},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/lopez24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/LopezHHPR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/LuZF0LMW24,
author = {Wenhao Lu and
Xufeng Zhao and
Thilo Fryen and
Jae Hee Lee and
Mengdi Li and
Sven Magg and
Stefan Wermter},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal State Distillation for Explainable Reinforcement Learning},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {106--142},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/lu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/LuZF0LMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/LuttermannHB0G24,
author = {Malte Luttermann and
Mattis Hartwig and
Tanya Braun and
Ralf M{\"{o}}ller and
Marcel Gehrke},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Lifted Causal Inference in Relational Domains},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {827--842},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/luttermann24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/LuttermannHB0G24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/MachlanskiSC24,
author = {Damian Machlanski and
Spyridon Samothrakis and
Paul Clarke},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Robustness of Algorithms for Causal Structure Learning to Hyperparameter
Choice},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {703--739},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/machlanski24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/MachlanskiSC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/MarmarelisSGM24,
author = {Myrl G. Marmarelis and
Greg Ver Steeg and
Aram Galstyan and
Fred Morstatter},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {18--40},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/marmarelis24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/MarmarelisSGM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/MogensenRN24,
author = {S{\o}ren Wengel Mogensen and
Karin Rathsman and
Per Nilsson},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal discovery in a complex industrial system: {A} time series benchmark},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1218--1236},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/mogensen24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/MogensenRN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/MoreiraBCSFB24,
author = {Ricardo Miguel de Oliveira Moreira and
Jacopo Bono and
M{\'{a}}rio Cardoso and
Pedro Saleiro and
M{\'{a}}rio A. T. Figueiredo and
Pedro Bizarro},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {DiConStruct: Causal Concept-based Explanations through Black-Box Distillation},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {740--768},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/moreira24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/MoreiraBCSFB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/NgH024,
author = {Ignavier Ng and
Biwei Huang and
Kun Zhang},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Structure Learning with Continuous Optimization: {A} Sober Look and
Beyond},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {71--105},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/ng24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/NgH024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/PacelaALV24,
author = {Vit{\'{o}}ria Barin Pacela and
Kartik Ahuja and
Simon Lacoste{-}Julien and
Pascal Vincent},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {On the Identifiability of Quantized Factors},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {384--422},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/barin-pacela24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/PacelaALV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/PawarBOO24,
author = {Urja Pawar and
Christian Beder and
Ruairi O'Reilly and
Donna O'Shea},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and
Necessity Criteria in Explainable {AI}},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {570--586},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/pawar24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/PawarBOO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/PhamSHL24,
author = {Thong Pham and
Shohei Shimizu and
Hideitsu Hino and
Tam Le},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Scalable Counterfactual Distribution Estimation in Multivariate Causal
Models},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1118--1140},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/pham24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/PhamSHL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/RajendranRBR24,
author = {Goutham Rajendran and
Patrik Reizinger and
Wieland Brendel and
Pradeep Kumar Ravikumar},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {An Interventional Perspective on Identifiability in Gaussian {LTI}
Systems with Independent Component Analysis},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {41--70},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/rajendran24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/RajendranRBR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/RibotSU24,
author = {Alvaro Ribot and
Chandler Squires and
Caroline Uhler},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent
Factor Models},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1141--1175},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/ribot24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/RibotSU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/RohbeckCMPSU24,
author = {Martin Rohbeck and
Brian Clarke and
Katharina Mikulik and
Alexandra Pettet and
Oliver Stegle and
Kai Ueltzh{\"{o}}ffer},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Bicycle: Intervention-Based Causal Discovery with Cycles},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {209--242},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/rohbeck24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/RohbeckCMPSU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/SimoesDO24,
author = {Francisco Nunes Ferreira Quialheiro Simoes and
Mehdi Dastani and
Thijs van Ommen},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Fundamental Properties of Causal Entropy and Information Gain},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {188--208},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/simoes24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/SimoesDO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/StriederD24,
author = {David Strieder and
Mathias Drton},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Dual Likelihood for Causal Inference under Structure Uncertainty},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1--17},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/strieder24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/StriederD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/TalonLJBM24,
author = {Davide Talon and
Phillip Lippe and
Stuart James and
Alessio Del Bue and
Sara Magliacane},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Towards the Reusability and Compositionality of Causal Representations},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {296--324},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/talon24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/TalonLJBM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/Ying24,
author = {Andrew Ying},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causality for Functional Longitudinal Data},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {665--687},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/ying24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/Ying24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/clear2/ZhuBKJ24,
author = {Yuchen Zhu and
Kailash Budhathoki and
Jonas M. K{\"{u}}bler and
Dominik Janzing},
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Meaningful Causal Aggregation and Paradoxical Confounding},
booktitle = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
pages = {1192--1217},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/zhu24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/ZhuBKJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0001CHMY24,
author = {Zachary Chase and
Bogdan Chornomaz and
Steve Hanneke and
Shay Moran and
Amir Yehudayoff},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Dual {VC} Dimension Obstructs Sample Compression by Embeddings},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {923--946},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chase24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0001CHMY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0001JVM24,
author = {Yihan Zhang and
Hong Chang Ji and
Ramji Venkataramanan and
Marco Mondelli},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Spectral Estimators for Structured Generalized Linear Models via Approximate
Message Passing (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5224--5230},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/zhang24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0001JVM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0001M24,
author = {Daniel Hsu and
Arya Mazumdar},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On the sample complexity of parameter estimation in logistic regression
with normal design},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2418--2437},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/hsu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0001M24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0001MMS24,
author = {Lee Cohen and
Yishay Mansour and
Shay Moran and
Han Shao},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Learnability Gaps of Strategic Classification},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1223--1259},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/cohen24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0001MMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0001Z24,
author = {Charilaos Efthymiou and
Kostas Zampetakis},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On sampling diluted Spin-Glasses using Glauber Dynamics},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1501--1515},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/efthymiou24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0001Z24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0002CD24,
author = {Yan Dai and
Qiwen Cui and
Simon S. Du},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Refined Sample Complexity for Markov Games with Independent Linear
Function Approximation (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1260--1261},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/dai24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0002CD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0002CEMMT24,
author = {Marco Bressan and
Nicol{\`{o}} Cesa{-}Bianchi and
Emmanuel Esposito and
Yishay Mansour and
Shay Moran and
Maximilian Thiessen},
editor = {Shipra Agrawal and
Aaron Roth},
title = {A Theory of Interpretable Approximations},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {648--668},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/bressan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0002CEMMT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0002ET24,
author = {Marco Bressan and
Emmanuel Esposito and
Maximilian Thiessen},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Efficient Algorithms for Learning Monophonic Halfspaces in Graphs},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {669--696},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/bressan24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0002ET24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0003HHKLOPS24,
author = {Gavin Brown and
Jonathan Hayase and
Samuel B. Hopkins and
Weihao Kong and
Xiyang Liu and
Sewoong Oh and
Juan C. Perdomo and
Adam Smith},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Insufficient Statistics Perturbation: Stable Estimators for Private
Least Squares Extended Abstract},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {750--751},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/brown24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0003HHKLOPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0005Y0F24,
author = {Gen Li and
Yuling Yan and
Yuxin Chen and
Jianqing Fan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Minimax-optimal reward-agnostic exploration in reinforcement learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3431--3436},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/li24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0005Y0F24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/0012Z24,
author = {Mingyu Chen and
Xuezhou Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Scale-free Adversarial Reinforcement Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1068--1101},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chen24d.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/0012Z24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AddankiB24,
author = {Raghavendra Addanki and
Siddharth Bhandari},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Limits of Approximating the Median Treatment Effect},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1--21},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/addanki24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AddankiB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Aden-AliHLZ24,
author = {Ishaq Aden{-}Ali and
Mikael M{\o}ller H{\o}andgsgaard and
Kasper Green Larsen and
Nikita Zhivotovskiy},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Majority-of-Three: The Simplest Optimal Learner?},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {22--45},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/aden-ali24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Aden-AliHLZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AliakbarpourB0S24,
author = {Maryam Aliakbarpour and
Konstantina Bairaktari and
Gavin Brown and
Adam Smith and
Nathan Srebro and
Jonathan R. Ullman},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Metalearning with Very Few Samples Per Task},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {46--93},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/aliakbarpour24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AliakbarpourB0S24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AlonMSY24,
author = {Noga Alon and
Shay Moran and
Hilla Schefler and
Amir Yehudayoff},
editor = {Shipra Agrawal and
Aaron Roth},
title = {A Unified Characterization of Private Learnability via Graph Theory},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {94--129},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/alon24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AlonMSY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AmortilaCK24,
author = {Philip Amortila and
Tongyi Cao and
Akshay Krishnamurthy},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Mitigating Covariate Shift in Misspecified Regression with Applications
to Reinforcement Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {130--160},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/amortila24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AmortilaCK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AnariCV24,
author = {Nima Anari and
Sinho Chewi and
Thuy{-}Duong Vuong},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Fast parallel sampling under isoperimetry},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {161--185},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/anari24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AnariCV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ArecesCDR24,
author = {Felipe Areces and
Chen Cheng and
John C. Duchi and
Kuditipudi Rohith},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Two fundamental limits for uncertainty quantification in predictive
inference},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {186--218},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/areces24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ArecesCDR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ArnalCP24,
author = {Charles Arnal and
Vivien Cabannes and
Vianney Perchet},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Mode Estimation with Partial Feedback},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {219--220},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/arnal24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ArnalCP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AsiDHLR24,
author = {Hilal Asi and
John C. Duchi and
Saminul Haque and
Zewei Li and
Feng Ruan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Universally Instance-Optimal Mechanisms for Private Statistical Estimation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {221--259},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/asi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AsiDHLR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AsilisDDST24,
author = {Julian Asilis and
Siddartha Devic and
Shaddin Dughmi and
Vatsal Sharan and
Shang{-}Hua Teng},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Regularization and Optimal Multiclass Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {260--310},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/asilis24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AsilisDDST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AsilisDDST24a,
author = {Julian Asilis and
Siddartha Devic and
Shaddin Dughmi and
Vatsal Sharan and
Shang{-}Hua Teng},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: Can Local Regularization Learn All Multiclass Problems?},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5301--5305},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/asilis24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AsilisDDST24a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AssadiW24,
author = {Sepehr Assadi and
Chen Wang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds
for Pure Exploration in Multi-armed Bandits},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {311--358},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/assadi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AssadiW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AttiasHKKV24,
author = {Idan Attias and
Steve Hanneke and
Alkis Kalavasis and
Amin Karbasi and
Grigoris Velegkas},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Universal Rates for Regression: Separations between Cut-Off and Absolute
Loss},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {359--405},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/attias24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AttiasHKKV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AwasthiDKM24,
author = {Pranjal Awasthi and
Nishanth Dikkala and
Pritish Kamath and
Raghu Meka},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Learning Neural Networks with Sparse Activations},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {406--425},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/awasthi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AwasthiDKM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/AzizeB24,
author = {Achraf Azize and
Debabrota Basu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: What is the Complexity of Joint Differential Privacy
in Linear Contextual Bandits?},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5306--5311},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/azize24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/AzizeB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BanerjeeBY24,
author = {Siddhartha Banerjee and
Alankrita Bhatt and
Christina Lee Yu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The {SMART} approach to instance-optimal online learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {426},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/banerjee24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BanerjeeBY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BangachevB24,
author = {Kiril Bangachev and
Guy Bresler},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Detection of L\({}_{\mbox{{\(\infty\)}}}\) Geometry in Random Geometric
Graphs: Suboptimality of Triangles and Cluster Expansion},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {427--497},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/bangachev24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BangachevB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BateniDJW24,
author = {MohammadHossein Bateni and
Prathamesh Dharangutte and
Rajesh Jayaram and
Chen Wang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Metric Clustering and {MST} with Strong and Weak Distance Oracles},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {498--550},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/bateni24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BateniDJW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BlanchardCK24,
author = {Mo{\"{\i}}se Blanchard and
Doron Cohen and
Aryeh Kontorovich},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Correlated Binomial Process},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {551--595},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/blanchard24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BlanchardCK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BlockRS24,
author = {Adam Block and
Alexander Rakhlin and
Abhishek Shetty},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On the Performance of Empirical Risk Minimization with Smoothed Data},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {596--629},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/block24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BlockRS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BrandenbergerMM24,
author = {Anna M. Brandenberger and
Cassandra Marcussen and
Elchanan Mossel and
Madhu Sudan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Errors are Robustly Tamed in Cumulative Knowledge Processes},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {630--631},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/brandenberger24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BrandenbergerMM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BreslerGP24,
author = {Guy Bresler and
Chenghao Guo and
Yury Polyanskiy},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Thresholds for Reconstruction of Random Hypergraphs From Graph Projections},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {632--647},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/bresler24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BreslerGP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BrownPR24,
author = {William Brown and
Christos H. Papadimitriou and
Tim Roughgarden},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Online Stackelberg Optimization via Nonlinear Control},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {697--749},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/brown24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BrownPR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/BuhaiDT24,
author = {Rares{-}Darius Buhai and
Jingqiu Ding and
Stefan Tiegel},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Computational-Statistical Gaps for Improper Learning in Sparse Linear
Regression},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {752--771},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/buhai24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/BuhaiDT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Canonne24,
author = {Cl{\'{e}}ment L. Canonne},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: Tight Characterization of Instance-Optimal Identity
Testing},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5312--5316},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/canonne24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Canonne24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CarmonH24,
author = {Yair Carmon and
Oliver Hinder},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Price of Adaptivity in Stochastic Convex Optimization},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {772--774},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/carmon24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/CarmonH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CaroGRFS24,
author = {Matthias C. Caro and
Tom Gur and
Cambyse Rouz{\'{e}} and
Daniel Stilck Fran{\c{c}}a and
Sathyawageeswar Subramanian},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Information-theoretic generalization bounds for learning from quantum
data},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {775--839},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/caro24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/CaroGRFS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChalopinCIR24,
author = {J{\'{e}}r{\'{e}}mie Chalopin and
Victor Chepoi and
Fionn Mc Inerney and
S{\'{e}}bastien Ratel},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Non-Clashing Teaching Maps for Balls in Graphs},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {840--875},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chalopin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChalopinCIR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChandrasekaranK24,
author = {Gautam Chandrasekaran and
Adam T. Klivans and
Vasilis Kontonis and
Raghu Meka and
Konstantinos Stavropoulos},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {876--922},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chandrasekaran24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChandrasekaranK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenDGR24,
author = {Fan Chen and
Constantinos Daskalakis and
Noah Golowich and
Alexander Rakhlin},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Near-Optimal Learning and Planning in Separated Latent MDPs},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {995--1067},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chen24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChenDGR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenH24,
author = {Xinyi Chen and
Elad Hazan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: Black-Box Reductions and Adaptive Gradient Methods for
Nonconvex Optimization},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5317--5324},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chen24e.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChenH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenN24,
author = {Sitan Chen and
Shyam Narayanan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {A faster and simpler algorithm for learning shallow networks},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {981--994},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chen24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChenN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenSWY24,
author = {Siyu Chen and
Heejune Sheen and
Tianhao Wang and
Zhuoran Yang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Training Dynamics of Multi-Head Softmax Attention for In-Context Learning:
Emergence, Convergence, and Optimality (extended abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4573},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/siyu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChenSWY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChenXZ24,
author = {Lesi Chen and
Jing Xu and
Jingzhao Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness
Results and Improved Analysis},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {947--980},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChenXZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChengKZ24,
author = {Yuqian Cheng and
Daniel M. Kane and
Zhicheng Zheng},
editor = {Shipra Agrawal and
Aaron Roth},
title = {New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2768--2794},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/cheng24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChengKZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChinMMS24,
author = {Byron Chin and
Ankur Moitra and
Elchanan Mossel and
Colin Sandon},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The power of an adversary in Glauber dynamics},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1102--1124},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/chin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChinMMS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ChristGZ24,
author = {Miranda Christ and
Sam Gunn and
Or Zamir},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Undetectable Watermarks for Language Models},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1125--1139},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/christ24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ChristGZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Christianson0LW24,
author = {Nicolas Christianson and
Bo Sun and
Steven H. Low and
Adam Wierman},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Risk-Sensitive Online Algorithms (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1140--1141},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/christianson24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Christianson0LW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Cohen0NSS24,
author = {Edith Cohen and
Xin Lyu and
Jelani Nelson and
Tam{\'{a}}s Sarl{\'{o}}s and
Uri Stemmer},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Lower Bounds for Differential Privacy Under Continual Observation
and Online Threshold Queries},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1200--1222},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/cohen24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Cohen0NSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/CohenMW24,
author = {Omer Cohen and
Ron Meir and
Nir Weinberger},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Statistical curriculum learning: An elimination algorithm achieving
an oracle risk},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1142--1199},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/cohen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/CohenMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DamianPLB24,
author = {Alex Damian and
Loucas Pillaud{-}Vivien and
Jason D. Lee and
Joan Bruna},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Computational-Statistical Gaps in Gaussian Single-Index Models (Extended
Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1262},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/damian24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DamianPLB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DaskalakisG24,
author = {Constantinos Daskalakis and
Noah Golowich},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Is Efficient {PAC} Learning Possible with an Oracle That Responds
"Yes" or "No"?},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1263--1307},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/daskalakis24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DaskalakisG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DiakonikolasK24,
author = {Ilias Diakonikolas and
Daniel M. Kane},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1364--1378},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/diakonikolas24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DiakonikolasK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DiakonikolasKLZ24,
author = {Ilias Diakonikolas and
Daniel M. Kane and
Sihan Liu and
Nikos Zarifis},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Testable Learning of General Halfspaces with Adversarial Label Noise},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1308--1335},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/diakonikolas24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DiakonikolasKLZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DiakonikolasKPZ24,
author = {Ilias Diakonikolas and
Daniel M. Kane and
Thanasis Pittas and
Nikos Zarifis},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Statistical Query Lower Bounds for Learning Truncated Gaussians},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1336--1363},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/diakonikolas24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DiakonikolasKPZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DmitrievSS24,
author = {Daniil Dmitriev and
Krist{\'{o}}f Szab{\'{o}} and
Amartya Sanyal},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On the Growth of Mistakes in Differentially Private Online Learning:
{A} Lower Bound Perspective},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1379--1398},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/dmitriev24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DmitrievSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DoumecheBBB24,
author = {Nathan Doum{\`{e}}che and
Francis Bach and
G{\'{e}}rard Biau and
Claire Boyer},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Physics-informed machine learning as a kernel method},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1399--1450},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/doumeche24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DoumecheBBB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DrevetonGGT24,
author = {Maximilien Dreveton and
Alperen G{\"{o}}zeten and
Matthias Grossglauser and
Patrick Thiran},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering
Error in Sub-Exponential Mixture Models},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1451--1485},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/dreveton24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DrevetonGGT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/DuchiH24,
author = {John C. Duchi and
Saminul Haque},
editor = {Shipra Agrawal and
Aaron Roth},
title = {An information-theoretic lower bound in time-uniform estimation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1486--1500},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/duchi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/DuchiH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ErezCKMM24,
author = {Liad Erez and
Alon Cohen and
Tomer Koren and
Yishay Mansour and
Shay Moran},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Real Price of Bandit Information in Multiclass Classification},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1573--1598},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/erez24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ErezCKMM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ErgenG24,
author = {Ekin Ergen and
Moritz Grillo},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Topological Expressivity of ReLU Neural Networks},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1599--1642},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/ergen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ErgenG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/EspositoM24,
author = {Amedeo Roberto Esposito and
Marco Mondelli},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Contraction of Markovian Operators in Orlicz Spaces and Error Bounds
for Markov Chain Monte Carlo (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1643--1645},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/esposito24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/EspositoM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Even0V24,
author = {Bertrand Even and
Christophe Giraud and
Nicolas Verzelen},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Computation-information gap in high-dimensional clustering},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1646--1712},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/even24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Even0V24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/FokkemaHLM24,
author = {Hidde Fokkema and
Dirk van der Hoeven and
Tor Lattimore and
Jack J. Mayo},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Online Newton Method for Bandit Convex Optimisation Extended Abstract},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1713--1714},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/fokkema24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/FokkemaHLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GajjarTXHML24,
author = {Aarshvi Gajjar and
Wai Ming Tai and
Xingyu Xu and
Chinmay Hegde and
Christopher Musco and
Yi Li},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Agnostic Active Learning of Single Index Models with Linear Sample
Complexity},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1715--1754},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gajjar24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GajjarTXHML24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GangradeCS24,
author = {Aditya Gangrade and
Tianrui Chen and
Venkatesh Saligrama},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Safe Linear Bandits over Unknown Polytopes},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1755--1795},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gangrade24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GangradeCS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GatmiryKV24,
author = {Khashayar Gatmiry and
Jonathan A. Kelner and
Santosh S. Vempala},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Sampling Polytopes with Riemannian {HMC:} Faster Mixing via the Lewis
Weights Barrier},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1796--1881},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gatmiry24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GatmiryKV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GatmiryS24,
author = {Khashayar Gatmiry and
Jon Schneider},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Adversarial Online Learning with Temporal Feedback Graphs},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4548--4572},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gatmiry24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GatmiryS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GenaltiM0M24,
author = {Gianmarco Genalti and
Lupo Marsigli and
Nicola Gatti and
Alberto Maria Metelli},
editor = {Shipra Agrawal and
Aaron Roth},
title = {({\(\epsilon\)}, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1882--1915},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/genalti24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GenaltiM0M24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GhaziK0MMZ24,
author = {Badih Ghazi and
Pritish Kamath and
Ravi Kumar and
Pasin Manurangsi and
Raghu Meka and
Chiyuan Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On Convex Optimization with Semi-Sensitive Features},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1916--1938},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/ghazi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GhaziK0MMZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GolowichM24,
author = {Noah Golowich and
Ankur Moitra},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Linear Bellman Completeness Suffices for Efficient Online Reinforcement
Learning with Few Actions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1939--1981},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/golowich24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GolowichM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GonzalezGP24,
author = {Tom{\'{a}}s Gonz{\'{a}}lez and
Crist{\'{o}}bal Guzm{\'{a}}n and
Courtney Paquette},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Mirror Descent Algorithms with Nearly Dimension-Independent Rates
for Differentially-Private Stochastic Saddle-Point Problems extended
abstract},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1982},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gonzalez24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GonzalezGP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GopalanHR24,
author = {Parikshit Gopalan and
Lunjia Hu and
Guy N. Rothblum},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On Computationally Efficient Multi-Class Calibration},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1983--2026},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gopalan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GopalanHR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GopalanORSS24,
author = {Parikshit Gopalan and
Princewill Okoroafor and
Prasad Raghavendra and
Abhishek Sherry and
Mihir Singhal},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Omnipredictors for regression and the approximate rank of convex functions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2027--2070},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gopalan24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GopalanORSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GordonJMRS24,
author = {Spencer L. Gordon and
Erik Jahn and
Bijan Mazaheri and
Yuval Rabani and
Leonard J. Schulman},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Identification of mixtures of discrete product distributions in near-optimal
sample and time complexity},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2071--2091},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gordon24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GordonJMRS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GourdeauLU24,
author = {Pascale Gourdeau and
Tosca Lechner and
Ruth Urner},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On the Computability of Robust {PAC} Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2092--2121},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gourdeau24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GourdeauLU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GrierPS24,
author = {Daniel Grier and
Hakop Pashayan and
Luke Schaeffer},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Principal eigenstate classical shadows},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2122--2165},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/grier24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GrierPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GuP24,
author = {Yuzhou Gu and
Aaradhya Pandey},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Community detection in the hypergraph stochastic block model and reconstruction
on hypertrees},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2166--2203},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GuP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GuoL24,
author = {Hengquan Guo and
Xin Liu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Stochastic Constrained Contextual Bandits via Lyapunov Optimization
Based Estimation to Decision Framework},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2204--2231},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/guo24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GuoL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/GuptaHP24,
author = {Shivam Gupta and
Samuel Hopkins and
Eric C. Price},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2232--2269},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/gupta24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/GuptaHP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HanJ024,
author = {Yanjun Han and
Tianze Jiang and
Yihong Wu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Prediction from compression for models with infinite memory, with
applications to hidden Markov and renewal processes},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2270--2307},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/han24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HanJ024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HanchiME24,
author = {Ayoub El Hanchi and
Chris J. Maddison and
Murat A. Erdogdu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Minimax Linear Regression under the Quantile Risk},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {1516--1572},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/el-hanchi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HanchiME24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Hanneke24,
author = {Steve Hanneke},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Star Number and Eluder Dimension: Elementary Observations About
the Dimensions of Disagreement},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2308--2359},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/hanneke24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Hanneke24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HannekeMW24,
author = {Steve Hanneke and
Shay Moran and
Tom Waknine},
editor = {Shipra Agrawal and
Aaron Roth},
title = {List Sample Compression and Uniform Convergence},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2360--2388},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/hanneke24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HannekeMW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HannekeMW24a,
author = {Steve Hanneke and
Shay Moran and
Tom Waknine},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open problem: Direct Sums in Learning Theory},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5325--5329},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/hanneke24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HannekeMW24a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HopkinsL24,
author = {Samuel B. Hopkins and
Anqi Li},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Adversarially-Robust Inference on Trees via Belief Propagation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2389--2417},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/hopkins24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HopkinsL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HuM24,
author = {Bingshan Hu and
Nishant A. Mehta},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online
Learning Under Differentially Privacy},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5330--5334},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/hu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HuM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HuangJM24,
author = {Han Huang and
Pakawut Jiradilok and
Elchanan Mossel},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2519--2521},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/huang24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HuangJM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HuangSY24,
author = {Dong Huang and
Xianwen Song and
Pengkun Yang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Information-Theoretic Thresholds for the Alignments of Partially Correlated
Graphs},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2494--2518},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/huang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HuangSY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/HuangZDMZ24,
author = {Xunpeng Huang and
Difan Zou and
Hanze Dong and
Yi{-}An Ma and
Tong Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2438--2493},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/huang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/HuangZDMZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ItoTH24,
author = {Shinji Ito and
Taira Tsuchiya and
Junya Honda},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive
Analysis and Best-of-Both-Worlds},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2522--2563},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/ito24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ItoTH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JambulapatiK0PP24,
author = {Arun Jambulapati and
Syamantak Kumar and
Jerry Li and
Shourya Pandey and
Ankit Pensia and
Kevin Tian},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Black-Box k-to-1-PCA Reductions: Theory and Applications},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2564--2607},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/jambulapati24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/JambulapatiK0PP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JambulapatiST24,
author = {Arun Jambulapati and
Aaron Sidford and
Kevin Tian},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Closing the Computational-Query Depth Gap in Parallel Stochastic Convex
Optimization},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2608--2643},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/jambulapati24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/JambulapatiST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JiaRSW24,
author = {Zeyu Jia and
Alexander Rakhlin and
Ayush Sekhari and
Chen{-}Yu Wei},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Offline Reinforcement Learning: Role of State Aggregation and Trajectory
Data},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2644--2719},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/jia24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/JiaRSW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JiangCP24,
author = {Yiheng Jiang and
Sinho Chewi and
Aram{-}Alexandre Pooladian},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Algorithms for mean-field variational inference via polyhedral optimization
in the Wasserstein space},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2720--2721},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/jiang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/JiangCP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JinKMSS24,
author = {Yujia Jin and
Ishani Karmarkar and
Christopher Musco and
Aaron Sidford and
Apoorv Vikram Singh},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Faster Spectral Density Estimation and Sparsification in the Nuclear
Norm (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2722},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/jin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/JinKMSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/JosephY24,
author = {Matthew Joseph and
Alexander Yu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic
Gaussian Noise},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2723--2766},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/joseph24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/JosephY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KalavasisMZ24,
author = {Alkis Kalavasis and
Anay Mehrotra and
Manolis Zampetakis},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Smaller Confidence Intervals From {IPW} Estimators via Data-Dependent
Coarsening (Extended Abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2767},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kalavasis24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KalavasisMZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KaoXZ24,
author = {Yu{-}Chun Kao and
Min Xu and
Cun{-}Hui Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2795--2839},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KaoXZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KelnerKMR24,
author = {Jonathan A. Kelner and
Frederic Koehler and
Raghu Meka and
Dhruv Rohatgi},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Lasso with Latents: Efficient Estimation, Covariate Rescaling, and
Computational-Statistical Gaps},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2840--2886},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kelner24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KelnerKMR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KlivansSV24,
author = {Adam R. Klivans and
Konstantinos Stavropoulos and
Arsen Vasilyan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Testable Learning with Distribution Shift},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2887--2943},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/klivans24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KlivansSV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KlivansSV24a,
author = {Adam R. Klivans and
Konstantinos Stavropoulos and
Arsen Vasilyan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Learning Intersections of Halfspaces with Distribution Shift: Improved
Algorithms and {SQ} Lower Bounds},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2944--2978},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/klivans24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KlivansSV24a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KochST24,
author = {Caleb Koch and
Carmen Strassle and
Li{-}Yang Tan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The title of the paper},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {2979--3010},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/koch24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KochST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KongT24,
author = {Lingkai Kong and
Molei Tao},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Convergence of Kinetic Langevin Monte Carlo on Lie groups},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3011--3063},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kong24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KongT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KookV24,
author = {Yunbum Kook and
Santosh S. Vempala},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave
Sampling},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3137--3240},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kook24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KookV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KookZCEL24,
author = {Yunbum Kook and
Matthew Shunshi Zhang and
Sinho Chewi and
Murat A. Erdogdu and
Mufan (Bill) Li},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Sampling from the Mean-Field Stationary Distribution},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3099--3136},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kook24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KookZCEL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KornowskiS24,
author = {Guy Kornowski and
Ohad Shamir},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: Anytime Convergence Rate of Gradient Descent},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5335--5339},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kornowski24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KornowskiS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KozachinskiyS24,
author = {Alexander Kozachinskiy and
Tomasz Steifer},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Simple online learning with consistent oracle},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3241--3256},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kozachinskiy24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KozachinskiyS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KreislerIHC24,
author = {Itai Kreisler and
Maor Ivgi and
Oliver Hinder and
Yair Carmon},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Accelerated Parameter-Free Stochastic Optimization},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3257--3324},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kreisler24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KreislerIHC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/KuzborskijJWJO24,
author = {Ilja Kuzborskij and
Kwang{-}Sung Jun and
Yulian Wu and
Kyoungseok Jang and
Francesco Orabona},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Better-than-KL PAC-Bayes Bounds},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3325--3352},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/kuzborskij24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/KuzborskijJWJO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LechnerB24,
author = {Tosca Lechner and
Shai Ben{-}David},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Inherent limitations of dimensions for characterizing learnability
of distribution classes},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3353--3374},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/lechner24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LechnerB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LeeHIO24,
author = {Jongyeong Lee and
Junya Honda and
Shinji Ito and
Min{-}hwan Oh},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Follow-the-Perturbed-Leader with Fr{\'{e}}chet-type Tail Distributions:
Optimality in Adversarial Bandits and Best-of-Both-Worlds},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3375--3430},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/lee24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LeeHIO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LiCJM24,
author = {Gene Li and
Lin Chen and
Adel Javanmard and
Vahab Mirrokni},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Optimistic Rates for Learning from Label Proportions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3437--3474},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/li24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LiCJM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LinPXACYW24,
author = {Yiheng Lin and
James A. Preiss and
Fengze Xie and
Emile Anand and
Soon{-}Jo Chung and
Yisong Yue and
Adam Wierman},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Online Policy Optimization in Unknown Nonlinear Systems},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3475--3522},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/lin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LinPXACYW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LiuA24,
author = {Yuhan Liu and
Jayadev Acharya},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The role of randomness in quantum state certification with unentangled
measurements},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3523--3555},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/liu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LiuA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LiuM24,
author = {Linxi Liu and
Li Ma},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Spatial properties of Bayesian unsupervised trees},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3556--3581},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/liu24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LiuM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LiuS24,
author = {Quanquan C. Liu and
Vaidehi Srinivas},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental
to Fully Dynamic Transformations},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3582--3641},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/liu24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LiuS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LucierPSZ24,
author = {Brendan Lucier and
Sarath Pattathil and
Aleksandrs Slivkins and
Mengxiao Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Autobidders with Budget and {ROI} Constraints: Efficiency, Regret,
and Pacing Dynamics},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3642--3643},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/lucier24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LucierPSZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/LumbrerasT24,
author = {Josep Lumbreras and
Marco Tomamichel},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Linear bandits with polylogarithmic minimax regret},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3644--3682},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/lumbreras24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/LumbrerasT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MaF24,
author = {Jianhao Ma and
Salar Fattahi},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Convergence of Gradient Descent with Small Initialization for Unregularized
Matrix Completion},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3683--3742},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/ma24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MaF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MaranMPR24,
author = {Davide Maran and
Alberto Maria Metelli and
Matteo Papini and
Marcello Restelli},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Projection by Convolution: Optimal Sample Complexity for Reinforcement
Learning in Continuous-Space MDPs},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3743--3774},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/maran24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MaranMPR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MarchettiHKS24,
author = {Giovanni Luca Marchetti and
Christopher J. Hillar and
Danica Kragic and
Sophia Sanborn},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Harmonics of Learning: Universal Fourier Features Emerge in Invariant
Networks},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3775--3797},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/marchetti24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MarchettiHKS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MardiaVW24,
author = {Jay Mardia and
Kabir Aladin Verchand and
Alexander S. Wein},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Low-degree phase transitions for detecting a planted clique in sublinear
time},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3798--3822},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/mardia24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MardiaVW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MergnyKKZ24,
author = {Pierre Mergny and
Justin Ko and
Florent Krzakala and
Lenka Zdeborov{\'{a}}},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Fundamental Limits of Non-Linear Low-Rank Matrix Estimation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3873},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/mergny24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MergnyKKZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MosselS24,
author = {Elchanan Mossel and
Anirudh Sridhar},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Finding Super-spreaders in Network Cascades},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3874--3914},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/mossel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MosselS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/MulayoffM24,
author = {Rotem Mulayoff and
Tomer Michaeli},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Exact Mean Square Linear Stability Analysis for {SGD}},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3915--3969},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/mulayoff24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/MulayoffM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/NeuPS24,
author = {Gergely Neu and
Matteo Papini and
Ludovic Schwartz},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Optimistic Information Directed Sampling},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3970--4006},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/neu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/NeuPS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/NietertGS24,
author = {Sloan Nietert and
Ziv Goldfeld and
Soroosh Shafiee},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Robust Distribution Learning with Local and Global Adversarial Corruptions
(extended abstract)},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4007--4008},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/nietert24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/NietertGS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/OkoSSW24,
author = {Kazusato Oko and
Yujin Song and
Taiji Suzuki and
Denny Wu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Learning sum of diverse features: computational hardness and efficient
gradient-based training for ridge combinations},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4009--4081},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/oko24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/OkoSSW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ParkinsonOWSS24,
author = {Suzanna Parkinson and
Greg Ongie and
Rebecca Willett and
Ohad Shamir and
Nathan Srebro},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Depth Separation in Norm-Bounded Infinite-Width Neural Networks},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4082--4114},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/parkinson24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ParkinsonOWSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/PatelGZWSCJS24,
author = {Kumar Kshitij Patel and
Margalit Glasgow and
Ali Zindari and
Lingxiao Wang and
Sebastian U. Stich and
Ziheng Cheng and
Nirmit Joshi and
Nathan Srebro},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Limits and Potentials of Local {SGD} for Distributed Heterogeneous
Learning with Intermittent Communication},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4115--4157},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/patel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/PatelGZWSCJS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Peng24,
author = {Binghui Peng},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The sample complexity of multi-distribution learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4185--4204},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/peng24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Peng24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/PengR24,
author = {Binghui Peng and
Aviad Rubinstein},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The complexity of approximate (coarse) correlated equilibrium for
incomplete information games},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4158--4184},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/peng24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/PengR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/PensiaJL24,
author = {Ankit Pensia and
Varun S. Jog and
Po{-}Ling Loh},
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Sample Complexity of Simple Binary Hypothesis Testing},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4205--4206},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/pensia24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/PensiaJL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/PeterTU24,
author = {Naty Peter and
Eliad Tsfadia and
Jonathan R. Ullman},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting
Fingerprinting Codes},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4207--4239},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/peter24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/PeterTU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/PourAA24,
author = {Alireza Fathollah Pour and
Hassan Ashtiani and
Shahab Asoodeh},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Sample-Optimal Locally Private Hypothesis Selection and the Provable
Benefits of Interactivity},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4240--4275},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/pour24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/PourAA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/PuchkinR24,
author = {Nikita Puchkin and
Maxim V. Rakhuba},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Dimension-free Structured Covariance Estimation},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4276--4306},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/puchkin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/PuchkinR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/QiaoZ24,
author = {Mingda Qiao and
Letian Zheng},
editor = {Shipra Agrawal and
Aaron Roth},
title = {On the Distance from Calibration in Sequential Prediction},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4307--4357},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/qiao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/QiaoZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/QinR24,
author = {Yilong Qin and
Andrej Risteski},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Fit Like You Sample: Sample-Efficient Generalized Score Matching from
Fast Mixing Diffusions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4413--4457},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/qin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/QinR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/RamanSRT24,
author = {Vinod Raman and
Unique Subedi and
Ananth Raman and
Ambuj Tewari},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Apple Tasting: Combinatorial Dimensions and Minimax Rates},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4358--4380},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/raman24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/RamanSRT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/RamanST24,
author = {Vinod Raman and
Unique Subedi and
Ambuj Tewari},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Online Learning with Set-valued Feedback},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4381--4412},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/raman24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/RamanST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Sakaue0TO24,
author = {Shinsaku Sakaue and
Han Bao and
Taira Tsuchiya and
Taihei Oki},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Online Structured Prediction with Fenchel-Young Losses and Improved
Surrogate Regret for Online Multiclass Classification with Logistic
Loss},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4458--4486},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/sakaue24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Sakaue0TO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SalmonSG24,
author = {Wilfred Salmon and
Sergii Strelchuk and
Tom Gur},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Provable Advantage in Quantum {PAC} Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4487--4510},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/salmon24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/SalmonSG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SamsonovTNM24,
author = {Sergey Samsonov and
Daniil Tiapkin and
Alexey Naumov and
Eric Moulines},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Improved High-Probability Bounds for the Temporal Difference Learning
Algorithm via Exponential Stability},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4511--4547},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/samsonov24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/SamsonovTNM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SoleymaniJ24,
author = {Mahdi Soleymani and
Tara Javidi},
editor = {Shipra Agrawal and
Aaron Roth},
title = {A Non-Adaptive Algorithm for the Quantitative Group Testing Problem},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4574--4592},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/soleymani24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/SoleymaniJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SrinivasanWW24,
author = {Vishwak Srinivasan and
Andre Wibisono and
Ashia C. Wilson},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Fast sampling from constrained spaces using the Metropolis-adjusted
Mirror Langevin algorithm},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4593--4635},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/srinivasan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/SrinivasanWW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/StephanZ24,
author = {Ludovic Stephan and
Yizhe Zhu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {A non-backtracking method for long matrix and tensor completion},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4636--4690},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/stephan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/StephanZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/SuggalaSNH24,
author = {Arun Sai Suggala and
Y. Jennifer Sun and
Praneeth Netrapalli and
Elad Hazan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Second Order Methods for Bandit Optimization and Control},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4691--4763},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/suggala24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/SuggalaSNH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Tiegel24,
author = {Stefan Tiegel},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Improved Hardness Results for Learning Intersections of Halfspaces},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4764--4786},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/tiegel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Tiegel24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Vakili24,
author = {Sattar Vakili},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement
Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5340--5344},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/vakili24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Vakili24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/VasilisMC24,
author = {Kontonis Vasilis and
Mingchen Ma and
Tzamos Christos},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Active Learning with Simple Questions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3064--3098},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/vasilis24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/VasilisMC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/VerdunMK024,
author = {Claudio Mayrink Verdun and
Oleh Melnyk and
Felix Krahmer and
Peter Jung},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Fast, blind, and accurate: Tuning-free sparse regression with global
linear convergence},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {3823--3872},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/mayrink-verdun24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/VerdunMK024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/VuralE24,
author = {Nuri Mert Vural and
Murat A. Erdogdu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Pruning is Optimal for Learning Sparse Features in High-Dimensions},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4787--4861},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/vural24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/VuralE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WanWSZ24,
author = {Yuanyu Wan and
Tong Wei and
Mingli Song and
Lijun Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Nearly Optimal Regret for Decentralized Online Convex Optimization},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4862--4888},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/WanWSZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Wang0024,
author = {Ziao Wang and
Weina Wang and
Lele Wang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Efficient Algorithms for Attributed Graph Alignment with Vanishing
Edge Correlation Extended Abstract},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4889--4890},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Wang0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WangC24,
author = {Guillaume Wang and
L{\'{e}}na{\"{\i}}c Chizat},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Open problem: Convergence of single-timescale mean-field Langevin
descent-ascent for two-player zero-sum games},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5345--5350},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wang24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/WangC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WangWF24,
author = {Zhichao Wang and
Denny Wu and
Zhou Fan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Nonlinear spiked covariance matrices and signal propagation in deep
neural networks},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4891--4957},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/WangWF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WibisonoWY24,
author = {Andre Wibisono and
Yihong Wu and
Kaylee Yingxi Yang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Optimal score estimation via empirical Bayes smoothing},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4958--4991},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wibisono24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/WibisonoWY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WuBTY24,
author = {Jingfeng Wu and
Peter L. Bartlett and
Matus Telgarsky and
Bin Yu},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity
of the Loss Improves Optimization Efficiency},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5019--5073},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wu24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/WuBTY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/WuSS24,
author = {Changlong Wu and
Jin Sima and
Wojciech Szpankowski},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Oracle-Efficient Hybrid Online Learning with Unknown Distribution},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {4992--5018},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/wu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/WuSS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/X24,
editor = {Shipra Agrawal and
Aaron Roth},
title = {Preface},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {i},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/agrawal24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/X24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/XiaoSL024,
author = {Jiancong Xiao and
Ruoyu Sun and
Qi Long and
Weijie Su},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5074--5075},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/xiao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/XiaoSL024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/YangCOM24,
author = {Yuepeng Yang and
Antares Chen and
Lorenzo Orecchia and
Cong Ma},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Top-K ranking with a monotone adversary},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5123--5162},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/yang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/YangCOM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/YangW24,
author = {Xuzhi Yang and
Tengyao Wang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Multiple-output composite quantile regression through an optimal transport
lens},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5076--5122},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/yang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/YangW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/YuZZ24,
author = {Xifan Yu and
Ilias Zadik and
Peiyuan Zhang},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Counting Stars is Constant-Degree Optimal For Detecting Any Planted
Subgraph: Extended Abstract},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5163--5165},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/yu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/YuZZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Zeng024,
author = {Sihan Zeng and
Thinh T. Doan},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Fast two-time-scale stochastic gradient method with applications in
reinforcement learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5166--5212},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/zeng24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Zeng024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/Zhang0LD24,
author = {Zihan Zhang and
Yuxin Chen and
Jason D. Lee and
Simon S. Du},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Settling the sample complexity of online reinforcement learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5213--5219},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/zhang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/Zhang0LD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ZhangZCDL24,
author = {Zihan Zhang and
Wenhao Zhan and
Yuxin Chen and
Simon S. Du and
Jason D. Lee},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Optimal Multi-Distribution Learning},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5220--5223},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/zhang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ZhangZCDL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/colt/ZurekC24,
author = {Matthew Zurek and
Yudong Chen},
editor = {Shipra Agrawal and
Aaron Roth},
title = {Gap-Free Clustering: Sensitivity and Robustness of {SDP}},
booktitle = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
pages = {5231--5300},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/zurek24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/ZurekC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/000124,
author = {Wentao Tang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Data-driven bifurcation analysis via learning of homeomorphism},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1149--1160},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/tang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/000124.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/0002FH24,
author = {Weiyao Wang and
Xinyuan Fang and
Gregory D. Hager},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Adapting Image-based {RL} Policies via Predicted Rewards},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {324--336},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/wang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/0002FH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/0002SN0K24,
author = {Rui Yan and
Gabriel Santos and
Gethin Norman and
David Parker and
Marta Kwiatkowska},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {HSVI-based online minimax strategies for partially observable stochastic
games with neural perception mechanisms},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {80--91},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/yan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/0002SN0K24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/0003P24,
author = {Weiqin Chen and
Santiago Paternain},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Generalized constraint for probabilistic safe reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1606--1618},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/chen24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/0003P24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/AgorioACPB24,
author = {Leopoldo Agorio and
Sean Van Alen and
Miguel Calvo{-}Fullana and
Santiago Paternain and
Juan Andr{\'{e}}s Bazerque},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Multi-agent assignment via state augmented reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1202--1213},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/agorio24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/AgorioACPB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/AguiarDJ24,
author = {Miguel Aguiar and
Amritam Das and
Karl Henrik Johansson},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning flow functions of spiking systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {591--602},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/aguiar24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/AguiarDJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/AkgulUK24,
author = {Abdullah Akg{\"{u}}l and
Gozde Unal and
Melih Kandemir},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Continual learning of multi-modal dynamics with external memory},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {40--51},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/akgul24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/AkgulUK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/AlboniGPCP24,
author = {Elisa Alboni and
Gianluigi Grandesso and
Gastone Pietro Rosati Papini and
Justin Carpentier and
Andrea Del Prete},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {{CACTO-SL:} Using Sobolev learning to improve continuous actor-critic
with trajectory optimization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1452--1463},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/alboni24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/AlboniGPCP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Allen-Blanchette24,
author = {Christine Allen{-}Blanchette},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Hamiltonian {GAN}},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1662--1674},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/allen-blanchette24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Allen-Blanchette24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/AlsadatB024,
author = {Shayan Meshkat Alsadat and
Nasim Baharisangari and
Zhe Xu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Distributed on-the-fly control of multi-agent systems with unknown
dynamics: Using limited data to obtain near-optimal control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1440--1451},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/meshkat-alsadat24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/AlsadatB024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/AlsaltiLM24,
author = {Mohammad Alsalti and
Victor G. Lopez and
Matthias Albrecht M{\"{u}}ller},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {An efficient data-based off-policy Q-learning algorithm for optimal
output feedback control of linear systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {312--323},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/alsalti24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/AlsaltiLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ApraezKTNMSP24,
author = {Daniel Felipe Ordo{\~{n}}ez Apraez and
Vladimir Kostic and
Giulio Turrisi and
Pietro Novelli and
Carlos Mastalli and
Claudio Semini and
Massimiliano Pontil},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Dynamics harmonic analysis of robotic systems: Application in data-driven
Koopman modelling},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1318--1329},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/ordonez-apraez24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ApraezKTNMSP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BaiAS24,
author = {Yatong Bai and
Brendon G. Anderson and
Somayeh Sojoudi},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Mixing classifiers to alleviate the accuracy-robustness trade-off},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {852--865},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/bai24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BaiAS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BaiD24,
author = {Yitao Bai and
Thinh T. Doan},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Finite-time complexity of incremental policy gradient methods for
solving multi-task reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1046--1057},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/bai24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BaiD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BajelaniH24,
author = {Mohammad Bajelani and
Klaske van Heusden},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {From raw data to safety: Reducing conservatism by set expansion},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1305--1317},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/bajelani24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BajelaniH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BarkleyZF24,
author = {Brett Barkley and
Amy Zhang and
David Fridovich{-}Keil},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {An investigation of time reversal symmetry in reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {68--79},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/barkley24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BarkleyZF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BhanBKS24,
author = {Luke Bhan and
Yuexin Bian and
Miroslav Krstic and
Yuanyuan Shi},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {{PDE} control gym: {A} benchmark for data-driven boundary control
of partial differential equations},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1083--1095},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/bhan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BhanBKS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BhardwajLNRABWR24,
author = {Mohak Bhardwaj and
Thomas Lampe and
Michael Neunert and
Francesco Romano and
Abbas Abdolmaleki and
Arunkumar Byravan and
Markus Wulfmeier and
Martin A. Riedmiller and
Jonas Buchli},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Real-world fluid directed rigid body control via deep reinforcement
learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {414--427},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/bhardwaj24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BhardwajLNRABWR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BhargavGS24,
author = {Jayanth Bhargav and
Mahsa Ghasemi and
Shreyas Sundaram},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Submodular information selection for hypothesis testing with misclassification
penalties},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {566--577},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/bhargav24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BhargavGS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BoucherDSM24,
author = {R{\'{e}}my Hosseinkhan Boucher and
Stella Douka and
Onofrio Semeraro and
Lionel Mathelin},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Increasing information for model predictive control with semi-Markov
decision processes},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1400--1414},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hosseinkhan-boucher24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BoucherDSM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BrancatoSLF0B24,
author = {Sara Maria Brancato and
Davide Salzano and
Francesco De Lellis and
Davide Fiore and
Giovanni Russo and
Mario di Bernardo},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {In vivo learning-based control of microbial populations density in
bioreactors},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {941--953},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/brancato24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BrancatoSLF0B24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BrindisePLT24,
author = {Noel Brindise and
Andres Felipe Posada{-}Moreno and
Cedric Langbort and
Sebastian Trimpe},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Pointwise-in-time diagnostics for reinforcement learning during training
and runtime},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {694--706},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/brindise24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BrindisePLT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BrumaliCN24,
author = {Riccardo Brumali and
Guido Carnevale and
Giuseppe Notarstefano},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {A deep learning approach for distributed aggregative optimization
with users' feedback},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1552--1564},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/brumali24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BrumaliCN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BrunzemaKT24,
author = {Paul Brunzema and
Paul Kruse and
Sebastian Trimpe},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Neural processes with event triggers for fast adaptation to changes},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1619--1632},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/brunzema24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BrunzemaKT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/BuergerCD24,
author = {Johannes Buerger and
Mark Cannon and
Martin Doff{-}Sotta},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Safe learning in nonlinear model predictive control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {603--614},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/buerger24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/BuergerCD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/CampanaroGMH24,
author = {Luigi Campanaro and
Siddhant Gangapurwala and
Wolfgang Merkt and
Ioannis Havoutis},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning and deploying robust locomotion policies with minimal dynamics
randomization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {578--590},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/campanaro24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/CampanaroGMH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ChatzikiriakosW24,
author = {Nicolas Chatzikiriakos and
Kim Peter Wabersich and
Felix Berkel and
Patricia Pauli and
Andrea Iannelli},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning soft constrained {MPC} value functions: Efficient {MPC} design
and implementation providing stability and safety guarantees},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {387--398},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/chatzikiriakos24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ChatzikiriakosW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/CheeSHP24,
author = {Kong Yao Chee and
Thales C. Silva and
M. Ani Hsieh and
George J. Pappas},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Uncertainty quantification and robustification of model-based controllers
using conformal prediction},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {528--540},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/chee24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/CheeSHP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ChenMZDK24,
author = {Paula X. Chen and
Tingwei Meng and
Zongren Zou and
J{\'{e}}r{\^{o}}me Darbon and
George Em Karniadakis},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for
continual scientific machine learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1--12},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/chen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ChenMZDK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ClarkRM24,
author = {Emma Clark and
Kanghyun Ryu and
Negar Mehr},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Adaptive teaching in heterogeneous agents: Balancing surprise in sparse
reward scenarios},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1489--1501},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/clark24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ClarkRM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/CramerRT24,
author = {Emma Cramer and
Jonas Reiher and
Sebastian Trimpe},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Tracking object positions in reinforcement learning: {A} metric for
keypoint detection},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {104--116},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/cramer24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/CramerRT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/DaiEH24,
author = {Rui Dai and
Giulio Evangelisti and
Sandra Hirche},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Physically consistent modeling {\&} identification of nonlinear
friction with dissipative Gaussian processes},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1415--1426},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/dai24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/DaiEH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/DietrichDA24,
author = {Elizabeth Dietrich and
Alex Devonport and
Murat Arcak},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Nonconvex scenario optimization for data-driven reachability},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {514--527},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/dietrich24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/DietrichDA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/DrummondBV24,
author = {Ross Drummond and
Pablo R. Baldivieso and
Giorgio Valmorbida},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Mapping back and forth between model predictive control and neural
networks},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1228--1240},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/drummond24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/DrummondBV24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/DrummondGT24,
author = {Ross Drummond and
Chris Guiver and
Matthew C. Turner},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Convex neural network synthesis for robustness in the 1-norm},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1388--1399},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/drummond24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/DrummondGT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/FeyLAWL24,
author = {Nolan Fey and
He Li and
Nicholas Adrian and
Patrick M. Wensing and
Michael D. Lemmon},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {A learning-based framework to adapt legged robots on-the-fly to unexpected
disturbances},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1161--1173},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/fey24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/FeyLAWL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/FrisonG24,
author = {Lilli Frison and
Simon G{\"{o}}lzh{\"{a}}user},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Adaptive neural network based control approach for building energy
control under changing environmental conditions},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1741--1752},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/frison24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/FrisonG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GaoYZCAJ24,
author = {Yulong Gao and
Shuhao Yan and
Jian Zhou and
Mark Cannon and
Alessandro Abate and
Karl Henrik Johansson},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning-based rigid tube model predictive control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {492--503},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GaoYZCAJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GautamPYZS24,
author = {Tanmay Gautam and
Reid Pryzant and
Ziyi Yang and
Chenguang Zhu and
Somayeh Sojoudi},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Soft convex quantization: revisiting Vector Quantization with convex
optimization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {273--285},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gautam24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GautamPYZS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GiacomuzzoCRCL24,
author = {Giulio Giacomuzzo and
Riccardo Cescon and
Diego Romeres and
Ruggero Carli and
Alberto Dalla Libera},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Lagrangian inspired polynomial estimator for black-box learning and
control of underactuated systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1292--1304},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/giacomuzzo24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GiacomuzzoCRCL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GibsonBTS24,
author = {Marsalis T. Gibson and
David Babazadeh and
Claire J. Tomlin and
S. Shankar Sastry},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Hacking predictors means hacking cars: Using sensitivity analysis
to identify trajectory prediction vulnerabilities for autonomous driving
security},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {745--757},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gibson24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GibsonBTS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GoelB24,
author = {Gautam Goel and
Peter L. Bartlett},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Can a transformer represent a Kalman filter?},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1502--1512},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/goel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GoelB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GornetS24,
author = {Jonathan Gornet and
Bruno Sinopoli},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Restless bandits with rewards generated by a linear Gaussian dynamical
system},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1791--1802},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gornet24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GornetS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GraciaBLL24,
author = {Ibon Gracia and
Dimitris Boskos and
Luca Laurenti and
Morteza Lahijanian},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Data-driven strategy synthesis for stochastic systems with unknown
nonlinear disturbances},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1633--1645},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gracia24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GraciaBLL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GuCH24,
author = {Yuliang Gu and
Sheng Cheng and
Naira Hovakimyan},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Proto-MPC: An encoder-prototype-decoder approach for quadrotor control
in challenging winds},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1765--1776},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GuCH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/GuptaA24,
author = {Samarth Gupta and
Saurabh Amin},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Uncertainty informed optimal resource allocation with Gaussian process
based Bayesian inference},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {796--812},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/gupta24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/GuptaA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HanY24,
author = {Haoyu Han and
Heng Yang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {On the nonsmooth geometry and neural approximation of the optimal
value function of infinite-horizon pendulum swing-up},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {654--666},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/han24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HanY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HansonR24,
author = {Joshua Hanson and
Maxim Raginsky},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Rademacher complexity of neural ODEs via Chen-Fliess series},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {758--769},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hanson24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HansonR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HebbarL24,
author = {Vijeth Hebbar and
Cedric Langbort},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Online decision making with history-average dependent costs},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {480--491},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hebbar24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HebbarL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HenkelKS024,
author = {Patrick Henkel and
Tobias Kasperski and
Phillip Stoffel and
Dirk M{\"{u}}ller},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Interpretable data-driven model predictive control of building energy
systems using {SHAP}},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {222--234},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/henkel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HenkelKS024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HinderyckxG24,
author = {Andreas Hinderyckx and
Florence Guillaume},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Linearised data-driven LSTM-based control of multi-input {HVAC} systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {117--129},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hinderyckx24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HinderyckxG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HoffmannCBBEWKB24,
author = {Jasper Hoffmann and
Diego Fernandez Clausen and
Julien Brosseit and
Julian Bernhard and
Klemens Esterle and
Moritz Werling and
Michael Karg and
Joschka B{\"{o}}decker},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {PlanNetX: Learning an efficient neural network planner from {MPC}
for longitudinal control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1214--1227},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hoffmann24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HoffmannCBBEWKB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HolzapfelBT24,
author = {Antonia Holzapfel and
Paul Brunzema and
Sebastian Trimpe},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Event-triggered safe Bayesian optimization on quadcopters},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1033--1045},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/holzapfel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HolzapfelBT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HoppeECS24,
author = {Heiko Hoppe and
Tobias Enders and
Quentin Cappart and
Maximilian Schiffer},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Global rewards in multi-agent deep reinforcement learning for autonomous
mobility on demand systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {260--272},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hoppe24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HoppeECS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HoseGT24,
author = {Henrik Hose and
Alexander Gr{\"{a}}fe and
Sebastian Trimpe},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Parameter-adaptive approximate {MPC:} Tuning neural-network controllers
without retraining},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {349--360},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hose24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HoseGT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HsuP24,
author = {Hao{-}Lun Hsu and
Miroslav Pajic},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Robust exploration with adversary via Langevin Monte Carlo},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1592--1605},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hsu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HsuP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HuLL24,
author = {Hanjiang Hu and
Jianglin Lan and
Changliu Liu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Real-time safe control of neural network dynamic models with sound
approximation},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {92--103},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HuLL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/HutchinsonA24,
author = {Spencer Hutchinson and
Mahnoosh Alizadeh},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Safe online convex optimization with multi-point feedback},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {168--180},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/hutchinson24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/HutchinsonA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/JeongGBH24,
author = {Hyun Joe Jeong and
Zheng Gong and
Somil Bansal and
Sylvia L. Herbert},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Parameterized fast and safe tracking (FaSTrack) using DeepReach},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1006--1017},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/jeong24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/JeongGBH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Jongeneel0L24,
author = {Wouter Jongeneel and
Daniel Kuhn and
Mengmeng Li},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {A large deviations perspective on policy gradient algorithms},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {916--928},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/jongeneel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Jongeneel0L24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/KangKLCM24,
author = {Beomseok Kang and
Harshit Kumar and
Minah Lee and
Biswadeep Chakraborty and
Saibal Mukhopadhyay},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning locally interacting discrete dynamical systems: Towards data-efficient
and scalable prediction},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1357--1369},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/kang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/KangKLCM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/KarginHMH24,
author = {Taylan Kargin and
Joudi Hajar and
Vikrant Malik and
Babak Hassibi},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Wasserstein distributionally robust regret-optimal control over infinite-horizon},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1688--1701},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/kargin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/KarginHMH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/KazemianSD24,
author = {Kimia Kazemian and
Yahya Sattar and
Sarah Dean},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Random features approximation for control-affine systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {732--744},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/kazemian24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/KazemianSD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Kjellqvist24,
author = {Olle Kjellqvist},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Minimax dual control with finite-dimensional information state},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {299--311},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/kjellqvist24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Kjellqvist24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/KolevRH0F24,
author = {Victor Kolev and
Rafael Rafailov and
Kyle Hatch and
Jiajun Wu and
Chelsea Finn},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Efficient imitation learning with conservative world models},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1777--1790},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/kolev24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/KolevRH0F24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/KumawatCM24,
author = {Hemant Kumawat and
Biswadeep Chakraborty and
Saibal Mukhopadhyay},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {STEMFold: Stochastic temporal manifold for multi-agent interactions
in the presence of hidden agents},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1427--1439},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/kumawat24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/KumawatCM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LahrTBSHZ24,
author = {Amon Lahr and
Filip Tronarp and
Nathanael Bosch and
Jonathan Schmidt and
Philipp Hennig and
Melanie N. Zeilinger},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Probabilistic {ODE} solvers for integration error-aware numerical
optimal control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1018--1032},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lahr24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LahrTBSHZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LatafatTP24,
author = {Puya Latafat and
Andreas Themelis and
Panagiotis Patrinos},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {On the convergence of adaptive first order methods: proximal gradient
and alternating minimization algorithms},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {197--208},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/latafat24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LatafatTP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LavanakulCST24,
author = {Will Lavanakul and
Jason J. Choi and
Koushil Sreenath and
Claire J. Tomlin},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Safety filters for black-box dynamical systems by learning discriminating
hyperplanes},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1278--1291},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lavanakul24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LavanakulCST24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LawrenceLWFG24,
author = {Nathan P. Lawrence and
Philip D. Loewen and
Shuyuan Wang and
Michael G. Forbes and
R. Bhushan Gopaluni},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Deep Hankel matrices with random elements},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1579--1591},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lawrence24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LawrenceLWFG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LeeRM24,
author = {Bruce D. Lee and
Anders Rantzer and
Nikolai Matni},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Nonasymptotic regret analysis of adaptive linear quadratic control
with model misspecification},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {980--992},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lee24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LeeRM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LiLGK24,
author = {Xiao Li and
Yutong Li and
Anouck Girard and
Ilya V. Kolmanovsky},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {System-level safety guard: Safe tracking control through uncertain
neural network dynamics models},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {968--979},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/li24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LiLGK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LiaoD024,
author = {Feng{-}Yi Liao and
Lijun Ding and
Yang Zheng},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Error bounds, {PL} condition, and quadratic growth for weakly convex
functions, and linear convergences of proximal point methods},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {993--1005},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/liao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LiaoD024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LinB24,
author = {Albert Lin and
Somil Bansal},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Verification of neural reachable tubes via scenario optimization and
conformal prediction},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {719--731},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LinB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LinJDCS024,
author = {Vivian Lin and
Kuk Jin Jang and
Souradeep Dutta and
Michele Caprio and
Oleg Sokolsky and
Insup Lee},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {{DC4L:} Distribution shift recovery via data-driven control for deep
learning models},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1526--1538},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lin24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LinJDCS024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LuLZLM24,
author = {Yiwen Lu and
Zishuo Li and
Yihan Zhou and
Na Li and
Yilin Mo},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {MPC-inspired reinforcement learning for verifiable model-free control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {399--413},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LuLZLM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/LubsenHE24,
author = {Jannis O. L{\"{u}}bsen and
Christian Hespe and
Annika Eichler},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Towards safe multi-task Bayesian optimization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {839--851},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/lubsen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/LubsenHE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Mao0YF24,
author = {Xiangyu Mao and
Jianping He and
Chengpu Yu and
Chongrong Fang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Conditions for parameter unidentifiability of linear {ARX} systems
for enhancing security},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {890--901},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/mao24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Mao0YF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/MaoQWFKB24,
author = {Weichao Mao and
Haoran Qiu and
Chen Wang and
Hubertus Franke and
Zbigniew Kalbarczyk and
Tamer Basar},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {{\textdollar}{\textbackslash}widetilde\{O\}(T\{-1\}){\textdollar}
\{C\}onvergence to (coarse) correlated equilibria in full-information
general-sum markov games},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {361--374},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/mao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/MaoQWFKB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/MaoSR24,
author = {Zhenjiang Mao and
Carson Sobolewski and
Ivan Ruchkin},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {How safe am {I} given what {I} see? Calibrated prediction of safety
chances for image-controlled autonomy},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1370--1387},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/mao24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/MaoSR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Markovsky24,
author = {Ivan Markovsky},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {The behavioral toolbox},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {130--141},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/markovsky24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Markovsky24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/MhaisenI24,
author = {Naram Mhaisen and
George Iosifidis},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Adaptive online non-stochastic control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {248--259},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/mhaisen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/MhaisenI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/MitraY024,
author = {Aritra Mitra and
Lintao Ye and
Vijay Gupta},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Towards model-free {LQR} control over rate-limited channels},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1253--1265},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/mitra24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/MitraY024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/NaishRZJDORPCOT24,
author = {Jack Naish and
Jacob Rodriguez and
Jenny Zhang and
Bryson Jones and
Guglielmo Daddi and
Andrew L. Orekhov and
Rob Royce and
Michael Paton and
Howie Choset and
Masahiro Ono and
Rohan Thakker},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Reinforcement learning-driven parametric curve fitting for snake robot
gait design},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1715--1727},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/naish24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/NaishRZJDORPCOT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/NakhaeiSP24,
author = {Mohammadreza Nakhaei and
Aidan Scannell and
Joni Pajarinen},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Residual learning and context encoding for adaptive offline-to-online
reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1107--1121},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/nakhaeinezhadfard24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/NakhaeiSP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/OhnishiAXM024,
author = {Motoya Ohnishi and
Iretiayo Akinola and
Jie Xu and
Ajay Mandlekar and
Fabio Ramos},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Signatures meet dynamic programming: Generalizing Bellman equations
for trajectory following},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {466--479},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/ohnishi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/OhnishiAXM024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/OrniaRHMA24,
author = {Daniel Jarne Ornia and
Licio Romao and
Lewis Hammond and
Manuel Mazo Jr. and
Alessandro Abate},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Bounded robustness in reinforcement learning via lexicographic objectives},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {954--967},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/jarne-ornia24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/OrniaRHMA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/PantazisFFGM24,
author = {George Pantazis and
Filiberto Fele and
Filippo Fabiani and
Sergio Grammatico and
Kostas Margellos},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Probably approximately correct stability of allocations in uncertain
coalitional games with private sampling},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1702--1714},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/pantazis24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/PantazisFFGM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/PeralezN24,
author = {Johan Peralez and
Madiha Nadri},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Deep model-free {KKL} observer: {A} switching approach},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {929--940},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/peralez24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/PeralezN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/PilarW24,
author = {Philipp Pilar and
Niklas Wahlstr{\"{o}}m},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Physics-informed neural networks with unknown measurement noise},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {235--247},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/pilar24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/PilarW24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/PilipovskyT24,
author = {Joshua Pilipovsky and
Panagiotis Tsiotras},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Data-driven robust covariance control for uncertain linear systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {667--678},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/pilipovsky24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/PilipovskyT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Qin024,
author = {Tiancheng Qin and
S. Rasoul Etesami},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning {\(\epsilon\)}-Nash equilibrium stationary policies in stochastic
games with unknown independent chains using online mirror descent},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {784--795},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/qin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Qin024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/RaghavanJ24,
author = {Aneesh Raghavan and
Karl Henrik Johansson},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {A multi-modal distributed learning algorithm in reproducing kernel
Hilbert spaces},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1241--1252},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/raghavan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/RaghavanJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Rantzer24,
author = {Anders Rantzer},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {A data-driven Riccati equation},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {504--513},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/rantzer24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Rantzer24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/RichardsonTGD24,
author = {Carl R. Richardson and
Matthew C. Turner and
Steve R. Gunn and
Ross Drummond},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Strengthened stability analysis of discrete-time Lurie systems involving
ReLU neural networks},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {209--221},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/richardson24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/RichardsonTGD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/RickardAM24,
author = {Luke Rickard and
Alessandro Abate and
Kostas Margellos},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning robust policies for uncertain parametric Markov decision
processes},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {876--889},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/rickard24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/RickardAM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/RickenbachSZ24,
author = {Rahel Rickenbach and
Anna Scampicchio and
Melanie N. Zeilinger},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Inverse optimal control as an errors-in-variables problem},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {375--386},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/rickenbach24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/RickenbachSZ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/SalehiD24,
author = {Achkan Salehi and
St{\'{e}}phane Doncieux},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Data-efficient, explainable and safe box manipulation: Illustrating
the advantages of physical priors in model-predictive control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {13--24},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/salehi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/SalehiD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/SalzmannA00R24,
author = {Tim Salzmann and
Jon Arrizabalaga and
Joel Andersson and
Marco Pavone and
Markus Ryll},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning for CasADi: Data-driven models in numerical optimization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {541--553},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/salzmann24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/SalzmannA00R24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/SeydeWSWR24,
author = {Tim Seyde and
Peter Werner and
Wilko Schwarting and
Markus Wulfmeier and
Daniela Rus},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Growing Q-networks: Solving continuous control tasks with adaptive
control resolution},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1646--1661},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/seyde24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/SeydeWSWR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Shang024,
author = {Xu Shang and
Yang Zheng},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Convex approximations for a bi-level formulation of data-enabled predictive
control},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1071--1082},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/shang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Shang024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ShehabAABO24,
author = {Mohamad Louai Shehab and
Antoine Aspeel and
Nikos Ar{\'{e}}chiga and
Andrew Best and
Necmiye Ozay},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning true objectives: Linear algebraic characterizations of identifiability
in inverse reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1266--1277},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/shehab24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ShehabAABO24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ShenWQ24,
author = {Junxuan Shen and
Adam Wierman and
Guannan Qu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Combining model-based controller and {ML} advice via convex reparameterization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {679--693},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/shen24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ShenWQ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ShinKLHY24,
author = {Jaeuk Shin and
Giho Kim and
Howon Lee and
Joonho Han and
Insoon Yang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {On task-relevant loss functions in meta-reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1174--1186},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/shin24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ShinKLHY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/SongSP24,
author = {Bing Song and
Jean{-}Jacques E. Slotine and
Quang{-}Cuong Pham},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Stable modular control via contraction theory for reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1136--1148},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/song24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/SongSP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/SrinivasanK24,
author = {Padmanaba Srinivasan and
William J. Knottenbelt},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {SpOiLer: Offline reinforcement learning using scaled penalties},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {825--838},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/srinivasan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/SrinivasanK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/StamouliLP24,
author = {Charis J. Stamouli and
Lars Lindemann and
George J. Pappas},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Recursively feasible shrinking-horizon {MPC} in dynamic environments
with conformal prediction guarantees},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1330--1342},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/stamouli24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/StamouliLP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/StrongB24,
author = {Amy K. Strong and
Leila Jasmine Bridgeman},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Data driven verification of positive invariant sets for discrete,
nonlinear systems},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1477--1488},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/strong24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/StrongB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/StrongSLZGT24,
author = {Christopher Strong and
Kaylene C. Stocking and
Jingqi Li and
Tianjiao Zhang and
Jack L. Gallant and
Claire J. Tomlin},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {A framework for evaluating human driver models using neuroimaging},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1565--1578},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/strong24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/StrongSLZGT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/SunCZFJY24,
author = {Sophia Sun and
Wenyuan Chen and
Zihao Zhou and
Sonia Fereidooni and
Elise Jortberg and
Rose Yu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Data-driven simulator for mechanical circulatory support with domain
adversarial neural process},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1513--1525},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/sun24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/SunCZFJY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TanL024,
author = {Kaiyuan Tan and
Peilun Li and
Thomas Beckers},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Physics-constrained learning for {PDE} systems with uncertainty quantified
port-Hamiltonian models},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1753--1764},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/tan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TanL024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TangLY24,
author = {Yukai Tang and
Jean{-}Bernard Lasserre and
Heng Yang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Uncertainty quantification of set-membership estimation in control
and perception: Revisiting the minimum enclosing ellipsoid},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {286--298},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/tang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TangLY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TeichribD24,
author = {Dieter Teichrib and
Moritz Schulze Darup},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Piecewise regression via mixed-integer programming for {MPC}},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {337--348},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/teichrib24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TeichribD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ThangavelS24,
author = {Satheesh Thangavel and
Rathinasamy Sakthivel},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Design of observer-based finite-time control for inductively coupled
power transfer system with random gain fluctuations},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {866--875},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/thangavel24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ThangavelS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TianZLFZT24,
author = {Zhen Tian and
Dezong Zhao and
Zhihao Lin and
David Flynn and
Wenjing Zhao and
Daxin Tian},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Balanced reward-inspired reinforcement learning for autonomous vehicle
racing},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {628--640},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/tian24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TianZLFZT24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TosoZ0024,
author = {Leonardo Felipe Toso and
Donglin Zhan and
James Anderson and
Han Wang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Meta-learning linear quadratic regulators: {A} policy gradient {MAML}
approach for model-free {LQR}},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {902--915},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/toso24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TosoZ0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ToufighiBSC24,
author = {Tara Toufighi and
Minh Bui and
Rakesh Shrestha and
Mo Chen},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi
reachability analysis and support vector machine},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {440--452},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/toufighi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ToufighiBSC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TumuCMPL24,
author = {Renukanandan Tumu and
Matthew Cleaveland and
Rahul Mangharam and
George J. Pappas and
Lars Lindemann},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Multi-modal conformal prediction regions by optimizing convex shape
templates},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1343--1356},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/tumu24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TumuCMPL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/TuranHA24,
author = {Berkay Turan and
Spencer Hutchinson and
Mahnoosh Alizadeh},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Safe dynamic pricing for nonstationary network resource allocation},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {155--167},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/turan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/TuranHA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/VaskovSB24,
author = {Sean Vaskov and
Wilko Schwarting and
Chris L. Baker},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Do no harm: {A} counterfactual approach to safe reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1675--1687},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/vaskov24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/VaskovSB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/WangPI24,
author = {Yikang Wang and
Adolfo Perrusqu{\'{\i}}a and
Dmitry I. Ignatyev},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Towards bio-inspired control of aerial vehicle: Distributed aerodynamic
parameters for state prediction},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1096--1106},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/wang24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/WangPI24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/WangZGY24,
author = {Tao Wang and
Bo Zhao and
Sicun Gao and
Rose Yu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Understanding the difficulty of solving Cauchy problems with PINNs},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {453--465},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/wang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/WangZGY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/XuanBP024,
author = {Zetong Xuan and
Alper Kamil Bozkurt and
Miroslav Pajic and
Yu Wang},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {On the uniqueness of solution for the Bellman equation of {LTL} objectives},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {428--439},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/xuan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/XuanBP024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/YamadaCP24,
author = {Jun Yamada and
Jack Collins and
Ingmar Posner},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Efficient skill acquisition for insertion tasks in obstructed environments},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {615--627},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/yamada24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/YamadaCP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/YaoLCHZ0Z24,
author = {Yihang Yao and
Zuxin Liu and
Zhepeng Cen and
Peide Huang and
Tingnan Zhang and
Wenhao Yu and
Ding Zhao},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Gradient shaping for multi-constraint safe reinforcement learning},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {25--39},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/yao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/YaoLCHZ0Z24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/YiPHQS24,
author = {Zeji Yi and
Chaoyi Pan and
Guanqi He and
Guannan Qu and
Guanya Shi},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {CoVO-MPC: Theoretical analysis of sampling-based {MPC} and optimal
covariance design},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1122--1135},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/yi24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/YiPHQS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/YiWCHS24,
author = {Zeji Yi and
Yunyue Wei and
Chu Xin Cheng and
Kaibo He and
Yanan Sui},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Improving sample efficiency of high dimensional Bayesian optimization
with {MCMC}},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {813--824},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/yi24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/YiWCHS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZamanLKB24,
author = {Muhammad Aneeq uz Zaman and
Mathieu Lauri{\`{e}}re and
Alec Koppel and
Tamer Basar},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Robust cooperative multi-agent reinforcement learning: {A} mean-field
type game perspective},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {770--783},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zaman24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZamanLKB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZengKRK24,
author = {Sihan Zeng and
Youngdae Kim and
Yuxuan Ren and
Kibaek Kim},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {QCQP-Net: Reliably learning feasible alternating current optimal power
flow solutions under constraints},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1539--1551},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zeng24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZengKRK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/Zhan0WJ0024,
author = {Simon Sinong Zhan and
Yixuan Wang and
Qingyuan Wu and
Ruochen Jiao and
Chao Huang and
Qi Zhu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {State-wise safe reinforcement learning with pixel observations},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1187--1201},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhan24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/Zhan0WJ0024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhangF24,
author = {Songyuan Zhang and
Chuchu Fan},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning to stabilize high-dimensional unknown systems using Lyapunov-guided
exploration},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {52--67},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhang24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhangF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhangG0ZR24,
author = {Lei Zhang and
Mukesh Ghimire and
Zhe Xu and
Wenlong Zhang and
Yi Ren},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Pontryagin neural operator for solving general-sum differential games
with parametric state constraints},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1728--1740},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhang24f.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhangG0ZR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhangM024,
author = {Runyu Zhang and
Haitong Ma and
Na Li},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Multi-agent coverage control with transient behavior consideration},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1464--1476},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhang24e.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhangM024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhangMMBB24,
author = {Xiangyuan Zhang and
Weichao Mao and
Saviz Mowlavi and
Mouhacine Benosman and
Tamer Basar},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Controlgym: Large-scale control environments for benchmarking reinforcement
learning algorithms},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {181--196},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhang24b.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhangMMBB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhangWS24,
author = {Zhengfei Zhang and
Yunyue Wei and
Yanan Sui},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {An invariant information geometric method for high-dimensional online
optimization},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {641--653},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhang24d.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhangWS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhangZY24,
author = {Yihuai Zhang and
Ruiguo Zhong and
Huan Yu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Neural operators for boundary stabilization of stop-and-go traffic},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {554--565},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhang24c.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhangZY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhaoY24,
author = {Chenguang Zhao and
Huan Yu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Learning "Look-Ahead" Nonlocal Traffic Dynamics in a Ring Road},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {142--154},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhao24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhaoY24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZhouCAT024,
author = {Tianyue Zhou and
Jung{-}Hoon Cho and
Babak Rahimi Ardabili and
Hamed Tabkhi and
Cathy Wu},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Expert with Clustering: Hierarchical Online Preference Learning Framework},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {707--718},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zhou24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZhouCAT024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/l4dc/ZulianiSL24,
author = {Riccardo Zuliani and
Raffaele Soloperto and
John Lygeros},
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {Convergence guarantees for adaptive model predictive control with
kinky inference},
booktitle = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
pages = {1058--1070},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v242/zuliani24a.html},
timestamp = {Fri, 05 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/ZulianiSL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/AlexosB24,
author = {Antonios Alexos and
Pierre Baldi},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2
model},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {1--6},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/alexos24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/AlexosB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/Baldi24,
author = {Pierre Baldi},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Deep Learning Over-Parameterization: the Shallow Fallacy},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {7--12},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/baldi24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/Baldi24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/BaumanGGK24,
author = {Tessa Bauman and
Sven Goluza and
Bruno Gasperov and
Zvonko Kostanjcar},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {13--19},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/bauman24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/BaumanGGK24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/Bo-SandeBKFHLJE24,
author = {Marie B{\o}{-}Sande and
Edvin Benjaminsen and
Neel Kanwal and
Saul Fuster and
Helga Hardardottir and
Ingrid Lundal and
Emilius A. M. Janssen and
Kjersti Engan},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics
and Prognostics},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {20--26},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/bo-sande24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/Bo-SandeBKFHLJE24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/Bryan-SmithD24,
author = {Lydia Bryan{-}Smith and
Nina Dethlefs},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Towards {AI} for approximating hydrodynamic simulations as a 2D segmentation
task},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {27--35},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/bryan-smith24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/Bryan-SmithD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/ClarkSKWMWBS24,
author = {Jeffrey Nicholas Clark and
Edward Alexander Small and
Nawid Keshtmand and
Michelle Wing Lam Wan and
Elena Fillola Mayoral and
Enrico Werner and
Christopher P. Bourdeaux and
Ra{\'{u}}l Santos{-}Rodr{\'{\i}}guez},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {TraCE: Trajectory Counterfactual Explanation Scores},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {36--45},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/clark24a.html},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nldl/ClarkSKWMWBS24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/DebnerKH24,
author = {Anton Debner and
Maximilian Krahn and
Vesa Hirvisalo},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Scheduling conditional task graphs with deep reinforcement learning},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {46--52},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/debner24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/DebnerKH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/DinhJSHN24,
author = {Phuong Dinh and
Deddy Jobson and
Takashi Sano and
Hirotada Honda and
Shugo Nakamura},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Understanding Neural {ODE} prediction decision using {SHAP}},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {53--58},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/dinh24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/DinhJSHN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/FrombergNFC24,
author = {Laurits Fromberg and
Troels Nielsen and
Flavia Dalia Frumosu and
Line H. Clemmensen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations
in Facial Emotion Recognition},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {67--74},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/fromberg24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/FrombergNFC24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/Garcia-TorresMR24,
author = {Jorge Garc{\'{\i}}a{-}Torres and
{\O}yvind Meinich{-}Bache and
Siren Irene Rettedal and
Amalie Kibsgaard and
Sara Brunner and
Kjersti Engan},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Comparative Analysis of Binary and Multiclass Activity Recognition
in High-Quality Newborn Resuscitation Videos},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {59--66},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/garcia-torres24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/Garcia-TorresMR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/GeldhauserD24,
author = {Carina Geldhauser and
Hermann Diebel{-}Fischer},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Is diverse and inclusive {AI} trapped in the gap between reality and
algorithmizability?},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {75--80},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/geldhauser24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/GeldhauserD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/HallostaPD24,
author = {Simon Hall{\"{o}}sta and
Mats Ingemar Pettersson and
Mattias Dahl},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Effects of Foreground Augmentations in Synthetic Training Data on
the Use of UAVs for Weed Detection},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {81--88},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/hallosta24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/HallostaPD24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/HoveAP24,
author = {Alouette van Hove and
Kristoffer Aalstad and
Norbert Pirk},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Guiding drones by information gain},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {89--96},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/hove24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/HoveAP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/Jensen24,
author = {Are C. Jensen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Beyond output-mask comparison: {A} self-supervised inspired object
scoring system for building change detection},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {97--103},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/jensen24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/Jensen24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/JensenJA24,
author = {Jonas Vestergaard Jensen and
Mikkel Jordahn and
Michael Riis Andersen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Neural machine translation for automated feedback on children's early-stage
writing},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {104--112},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/jensen24b.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/JensenJA24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/JohnsenR24,
author = {P{\aa}l Vegard Johnsen and
Filippo Remonato},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {SafetyCage: {A} misclassification detector for feed-forward neural
networks},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {113--119},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/johnsen24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/JohnsenR24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/KeshtmandSL24,
author = {Nawid Keshtmand and
Ra{\'{u}}l Santos{-}Rodr{\'{\i}}guez and
Jonathan Lawry},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Typicality-based point {OOD} detection with contrastive learning},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {120--129},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/keshtmand24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/KeshtmandSL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/KoopPPM24,
author = {Simon Martinus Koop and
Mark A. Peletier and
Jacobus Willem Portegies and
Vlado Menkovski},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Neural Langevin Dynamics: Towards Interpretable Neural Stochastic
Differential Equations},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {130--137},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/koop24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/KoopPPM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/LlambiasNM24,
author = {Sebastian N{\o}rgaard Llambias and
Mads Nielsen and
Mostafa Mehdipour{-}Ghazi},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Heterogeneous Learning for Brain Lesion Segmentation, Detection, and
Classification},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {138--144},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/llambias24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/LlambiasNM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/LundMBWJ24,
author = {J{\o}rgen Aarmo Lund and
Karl {\O}yvind Mikalsen and
Per Joel Burman and
Ashenafi Zebene Woldaregay and
Robert Jenssen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Instruction-guided deidentification with synthetic test cases for
Norwegian clinical text},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {145--152},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/lund24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/LundMBWJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/MeiresoneHP24,
author = {Pieter Meiresone and
David Van Hamme and
Wilfried Philips},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Loop closure with a low power millimeter wave radar sensor using an
autoencoder},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {153--157},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/meiresone24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/MeiresoneHP24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/MiddletonBSJPIN24,
author = {Jon Middleton and
Marko Bauer and
Kaining Sheng and
Jacob Johansen and
Mathias Perslev and
Silvia Ingala and
Mads Nielsen and
Akshay Pai},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on
{MRI}},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {158--164},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/middleton24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/MiddletonBSJPIN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/MukhopadhyayAM24,
author = {Aritra Mukhopadhyay and
Adhilsha A and
Subhankar Mishra},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Large Neural Networks at a Fraction},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {165--173},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/mukhopadhyay24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/MukhopadhyayAM24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/MunkN24,
author = {Asbj{\o}rn Munk and
Mads Nielsen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical
Guarantees, a Proof of Concept},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {174--180},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/munk24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/MunkN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/NielsenH24,
author = {Beatrix Miranda Ginn Nielsen and
Lars Kai Hansen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Hubness Reduction Improves Sentence-BERT Semantic Spaces},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {181--204},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/nielsen24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/NielsenH24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/PepeBL24,
author = {Alberto Pepe and
Sven Buchholz and
Joan Lasenby},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Clifford Group Equivariant Neural Network Layers for Protein Structure
Prediction},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {205--211},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/pepe24a.html},
timestamp = {Fri, 15 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/PepeBL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/PihlgrenSL24,
author = {Gustav Grund Pihlgren and
Fredrik Sandin and
Marcus Liwicki},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Deep Perceptual Similarity is Adaptable to Ambiguous Contexts},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {212--219},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/pihlgren24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/PihlgrenSL24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/Sanaullah24,
author = {Sanaullah Sanaullah},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {A Hybrid Spiking-Convolutional Neural Network Approach for Advancing
Machine Learning Models},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {220--227},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/sanaullah24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/Sanaullah24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/VermeerHVKBF24,
author = {Martijn Vermeer and
Jacob Alexander Hay and
David V{\"{o}}lgyes and
Zs{\'{o}}fia Koma and
Johannes Breidenbach and
Daniele Fantin},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Lidar-based Norwegian tree species detection using deep learning},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {228--234},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/vermeer24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/VermeerHVKBF24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/VillangerB24,
author = {John Isak Fjellvang Villanger and
Troels Arnfred Bojesen},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {An Inductive Bias for Emergent Communication in a Continuous Setting},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {235--243},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/villanger24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/VillangerB24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nldl/ZecOMG24,
author = {Edvin Listo Zec and
Johan {\"{O}}stman and
Olof Mogren and
Daniel Gillblad},
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Efficient Node Selection in Private Personalized Decentralized Learning},
booktitle = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
pages = {244--250},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v233/zec24a.html},
timestamp = {Wed, 21 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/ZecOMG24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/aistats/2024,
editor = {Sanjoy Dasgupta and
Stephan Mandt and
Yingzhen Li},
title = {International Conference on Artificial Intelligence and Statistics,
2-4 May 2024, Palau de Congressos, Valencia, Spain},
series = {Proceedings of Machine Learning Research},
volume = {238},
publisher = {{PMLR}},
year = {2024},
url = {http://proceedings.mlr.press/v238/},
timestamp = {Fri, 10 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/2024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/alt/2024,
editor = {Claire Vernade and
Daniel Hsu},
title = {International Conference on Algorithmic Learning Theory, 25-28 February
2024, La Jolla, California, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {237},
publisher = {{PMLR}},
year = {2024},
url = {http://proceedings.mlr.press/v237/},
timestamp = {Fri, 10 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/alt/2024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/clear2/2024,
editor = {Francesco Locatello and
Vanessa Didelez},
title = {Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California,
{USA}},
series = {Proceedings of Machine Learning Research},
volume = {236},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v236/},
timestamp = {Fri, 10 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/clear2/2024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/colt/2024,
editor = {Shipra Agrawal and
Aaron Roth},
title = {The Thirty Seventh Annual Conference on Learning Theory, June 30 -
July 3, 2023, Edmonton, Canada},
series = {Proceedings of Machine Learning Research},
volume = {247},
publisher = {{PMLR}},
year = {2024},
url = {https://proceedings.mlr.press/v247/},
timestamp = {Thu, 04 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/colt/2024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/l4dc/2024,
editor = {Alessandro Abate and
Mark Cannon and
Kostas Margellos and
Antonis Papachristodoulou},
title = {6th Annual Learning for Dynamics {\&} Control Conference, 15-17
July 2024, University of Oxford, Oxford, {UK}},
series = {Proceedings of Machine Learning Research},
volume = {242},
publisher = {{PMLR}},
year = {2024},
url = {http://proceedings.mlr.press/v242/},
timestamp = {Thu, 04 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/l4dc/2024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/nldl/2024,
editor = {Tetiana Lutchyn and
Ad{\'{\i}}n Ram{\'{\i}}rez Rivera and
Benjamin Ricaud},
title = {Northern Lights Deep Learning Conference, {NLDL} 2024, 9-11 January
2024, UiT The Arctic University, Troms{\o}, Norway},
series = {Proceedings of Machine Learning Research},
volume = {233},
publisher = {{PMLR}},
year = {2024},
url = {http://proceedings.mlr.press/v233/},
timestamp = {Tue, 20 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nldl/2024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/BuschSWZ23,
author = {Florian Peter Busch and
Jonas Seng and
Moritz Willig and
Matej Zecevic},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Continually Updating Neural Causal Models},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {30--37},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/busch23a.html},
timestamp = {Tue, 14 Nov 2023 09:13:46 +0100},
biburl = {https://dblp.org/rec/conf/aaai/BuschSWZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/CastriMB23,
author = {Luca Castri and
Sariah Mghames and
Nicola Bellotto},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {From Continual Learning to Causal Discovery in Robotics},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {85--91},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/castri23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/CastriMB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/ChuL23,
author = {Zhixuan Chu and
Sheng Li},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Continual Treatment Effect Estimation: Challenges and Opportunities},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {11--17},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/chu23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/ChuL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/ChuramaniCKG23,
author = {Nikhil Churamani and
Jiaee Cheong and
Sinan Kalkan and
Hatice Gunes},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Towards Causal Replay for Knowledge Rehearsal in Continual Learning},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {63--70},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/churamani23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/ChuramaniCKG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/FujiwaraKKOIS23,
author = {Daigo Fujiwara and
Kazuki Koyama and
Keisuke Kiritoshi and
Tomomi Okawachi and
Tomonori Izumitani and
Shohei Shimizu},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Prospects of Continual Causality for Industrial Applications},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {18--24},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/fujiwara23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/FujiwaraKKOIS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/KimCKRL23,
author = {Sanghyun Kim and
Jungwon Choi and
NamHee Kim and
Jaesung Ryu and
Juho Lee},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Modeling Uplift from Observational Time-Series in Continual Scenarios},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {75--84},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/kim23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/KimCKRL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/LeeJM23,
author = {Donggyu Lee and
Sangwon Jung and
Taesup Moon},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Issues for Continual Learning in the Presence of Dataset Bias},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {92--99},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/lee23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/LeeJM23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/Lesort23,
author = {Timoth{\'{e}}e Lesort},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Spurious Features in Continual Learning},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {59--62},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/lesort23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/Lesort23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/MundtCDRSBH23,
author = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Continual Causality: {A} Retrospective of the Inaugural {AAAI-23}
Bridge Program},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {1--10},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/mundt23a.html},
timestamp = {Tue, 14 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/aaai/MundtCDRSBH23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/NatarajanK23,
author = {Sriraam Natarajan and
Kristian Kersting},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Never Ending Reasoning and Learning: Opportunities and Challenges},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {71--74},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/natarajan23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/NatarajanK23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/OstapenkoRLC23,
author = {Oleksiy Ostapenko and
Pau Rodr{\'{\i}}guez and
Alexandre Lacoste and
Laurent Charlin},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {From {IID} to the Independent Mechanisms assumption in continual learning},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {25--29},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/ostapenko23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/OstapenkoRLC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/SengBZW23,
author = {Jonas Seng and
Florian Peter Busch and
Matej Zecevic and
Moritz Willig},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Treatment Effect Estimation to Guide Model Optimization in Continual
Learning},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {38--44},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/seng23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/SengBZW23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/WilligZSB23,
author = {Moritz Willig and
Matej Zecevic and
Jonas Seng and
Florian Peter Busch},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Causal Concept Identification in Open World Environments},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {52--58},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/willig23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/WilligZSB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/ZecevicWBS23,
author = {Matej Zecevic and
Moritz Willig and
Florian Peter Busch and
Jonas Seng},
editor = {Martin Mundt and
Keiland W. Cooper and
Devendra Singh Dhami and
Ad{\`{e}}le H. Ribeiro and
James Seale Smith and
Alexis Bellot and
Tyler L. Hayes},
title = {Continual Causal Abstractions},
booktitle = {{AAAI} Bridge Program on Continual Causality, 7-8 February 2023, Washington,
DC, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {208},
pages = {45--51},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v208/zecevic23a.html},
timestamp = {Tue, 05 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aaai/ZecevicWBS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/acml/0005F0K23,
author = {Lei Ju and
Zhenhua Feng and
Muhammad Awais and
Josef Kittler},
editor = {Berrin Yanikoglu and
Wray L. Buntine},
title = {Ada\({}^{\mbox{2}}\)NPT: An Adaptive Nearest Proxies Triplet Loss
for Attribute-Aware Face Recognition with Adaptively Compacted Feature
Learning},
booktitle = {Asian Conference on Machine Learning, {ACML} 2023, 11-14 November
2023, Istanbul, Turkey},
series = {Proceedings of Machine Learning Research},
volume = {222},
pages = {614--629},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v222/ju24a.html},
timestamp = {Tue, 14 May 2024 08:14:16 +0200},
biburl = {https://dblp.org/rec/conf/acml/0005F0K23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/acml/0005SSS23,
author = {Abhishek Tiwari and
Ananya Singhal and
Saurabh J. Shigwan and
Rajeev Kumar Singh},
editor = {Berrin Yanikoglu and
Wray L. Buntine},
title = {Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning
Framework using Sparse Diffusion Measures},
booktitle = {Asian Conference on Machine Learning, {ACML} 2023, 11-14 November
2023, Istanbul, Turkey},
series = {Proceedings of Machine Learning Research},
volume = {222},
pages = {1369--1384},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v222/tiwari24a.html},
timestamp = {Wed, 05 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/acml/0005SSS23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/acml/00080L23,
author = {Yuhang Song and
Anh Nguyen and
Chun{-}Yi Lee},
editor = {Berrin Yanikoglu and
Wray L. Buntine},
title = {Learning to Terminate in Object Navigation},
booktitle = {Asian Conference on Machine Learning, {ACML} 2023, 11-14 November
2023, Istanbul, Turkey},
series = {Proceedings of Machine Learning Research},
volume = {222},
pages = {1247--1262},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v222/song24a.html},
timestamp = {Mon, 13 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/acml/00080L23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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