Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSearch dblp for Publications
export results for "toc:db/conf/alt/alt2024.bht:"
download as .bib file
@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}
}
@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}
}
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
retrieved on 2024-06-26 11:37 CEST from data curated by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
