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@inproceedings{DBLP:conf/icml/0001JADYD18,
author = {Hoang Minh Le and
Nan Jiang and
Alekh Agarwal and
Miroslav Dud{\'{\i}}k and
Yisong Yue and
Hal Daum{\'{e}} III},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hierarchical Imitation and Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2923--2932},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/le18a.html},
timestamp = {Tue, 05 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0001JADYD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0001JCCJ18,
author = {Xi Wu and
Uyeong Jang and
Jiefeng Chen and
Lingjiao Chen and
Somesh Jha},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Reinforcing Adversarial Robustness using Model Confidence Induced
by Adversarial Training},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5330--5338},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18e.html},
timestamp = {Sun, 16 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/0001JCCJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0001KS18,
author = {Vineet Gupta and
Tomer Koren and
Yoram Singer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Shampoo: Preconditioned Stochastic Tensor Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1837--1845},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gupta18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0001KS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0001MPS18,
author = {Jerry Li and
Aleksander Madry and
John Peebles and
Ludwig Schmidt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Limitations of First-Order Approximation in {GAN} Dynamics},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3011--3019},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0001MPS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0001ZK18,
author = {Ehsan Kazemi and
Morteza Zadimoghaddam and
Amin Karbasi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Scalable Deletion-Robust Submodular Maximization: Data Summarization
with Privacy and Fairness Constraints},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2549--2558},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kazemi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0001ZK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0001ZM18,
author = {Shipra Agrawal and
Morteza Zadimoghaddam and
Vahab S. Mirrokni},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Proportional Allocation: Simple, Distributed, and Diverse Matching
with High Entropy},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {99--108},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/agrawal18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0001ZM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0002TT18,
author = {Prateek Jain and
Om Dipakbhai Thakkar and
Abhradeep Thakurta},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentially Private Matrix Completion Revisited},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2220--2229},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jain18b.html},
timestamp = {Tue, 04 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/0002TT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0003FK18,
author = {Lin Chen and
Moran Feldman and
Amin Karbasi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Weakly Submodular Maximization Beyond Cardinality Constraints: Does
Randomization Help Greedy?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {803--812},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0003FK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/0004K18,
author = {Shuai Zheng and
James Tin{-}Yau Kwok},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Lightweight Stochastic Optimization for Minimizing Finite Sums with
Infinite Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5927--5935},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zheng18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/0004K18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AbeilleL18,
author = {Marc Abeille and
Alessandro Lazaric},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control
Problems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1--9},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/abeille18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AbeilleL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AbelALL18,
author = {David Abel and
Dilip Arumugam and
Lucas Lehnert and
Michael L. Littman},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {State Abstractions for Lifelong Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {10--19},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/abel18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AbelALL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AbelJGKL18,
author = {David Abel and
Yuu Jinnai and
Yue (Sophie) Guo and
George Dimitri Konidaris and
Michael L. Littman},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Policy and Value Transfer in Lifelong Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {20--29},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/abel18b.html},
timestamp = {Thu, 19 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AbelJGKL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AcharyaKSZ18,
author = {Jayadev Acharya and
Gautam Kamath and
Ziteng Sun and
Huanyu Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{INSPECTRE:} Privately Estimating the Unseen},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {30--39},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/acharya18a.html},
timestamp = {Wed, 11 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AcharyaKSZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AchlioptasDMG18,
author = {Panos Achlioptas and
Olga Diamanti and
Ioannis Mitliagkas and
Leonidas J. Guibas},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Representations and Generative Models for 3D Point Clouds},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {40--49},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/achlioptas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AchlioptasDMG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AdelGW18,
author = {Tameem Adel and
Zoubin Ghahramani and
Adrian Weller},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Discovering Interpretable Representations for Both Deep Generative
and Discriminative Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {50--59},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/adel18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AdelGW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AgarwalBD0W18,
author = {Alekh Agarwal and
Alina Beygelzimer and
Miroslav Dud{\'{\i}}k and
John Langford and
Hanna M. Wallach},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Reductions Approach to Fair Classification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {60--69},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/agarwal18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AgarwalBD0W18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AgarwalPA18,
author = {Arpit Agarwal and
Prathamesh Patil and
Shivani Agarwal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Accelerated Spectral Ranking},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {70--79},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/agarwal18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AgarwalPA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AghazadehSLDSB18,
author = {Amirali Aghazadeh and
Ryan Spring and
Daniel LeJeune and
Gautam Dasarathy and
Anshumali Shrivastava and
Richard G. Baraniuk},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{MISSION:} Ultra Large-Scale Feature Selection using Count-Sketches},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {80--88},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/aghazadeh18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AghazadehSLDSB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AgrawalUB18,
author = {Raj Agrawal and
Caroline Uhler and
Tamara Broderick},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Minimal {I-MAP} {MCMC} for Scalable Structure Discovery in Causal
{DAG} Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {89--98},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/agrawal18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AgrawalUB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AhnCWS18,
author = {Sungsoo Ahn and
Michael Chertkov and
Adrian Weller and
Jinwoo Shin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bucket Renormalization for Approximate Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {109--118},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ahn18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AhnCWS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AinsworthFLF18,
author = {Samuel K. Ainsworth and
Nicholas J. Foti and
Adrian K. C. Lee and
Emily B. Fox},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {119--128},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ainsworth18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AinsworthFLF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AlaaS18,
author = {Ahmed M. Alaa and
Mihaela van der Schaar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Limits of Estimating Heterogeneous Treatment Effects: Guidelines for
Practical Algorithm Design},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {129--138},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/alaa18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AlaaS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AlaaS18a,
author = {Ahmed M. Alaa and
Mihaela van der Schaar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian
Optimization with Structured Kernel Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {139--148},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/alaa18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AlaaS18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Alabdulmohsin18,
author = {Ibrahim M. Alabdulmohsin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Information Theoretic Guarantees for Empirical Risk Minimization with
Applications to Model Selection and Large-Scale Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {149--158},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/alabdulmohsin18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Alabdulmohsin18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AlemiPFDS018,
author = {Alexander A. Alemi and
Ben Poole and
Ian Fischer and
Joshua V. Dillon and
Rif A. Saurous and
Kevin Murphy},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fixing a Broken {ELBO}},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {159--168},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/alemi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AlemiPFDS018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AliakbarpourDR18,
author = {Maryam Aliakbarpour and
Ilias Diakonikolas and
Ronitt Rubinfeld},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentially Private Identity and Equivalence Testing of Discrete
Distributions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {169--178},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/aliakbarpour18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AliakbarpourDR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Allen-Zhu18,
author = {Zeyuan Allen{-}Zhu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Katyusha {X:} Practical Momentum Method for Stochastic Sum-of-Nonconvex
Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {179--185},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/allen-zhu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Allen-Zhu18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Allen-ZhuBL18,
author = {Zeyuan Allen{-}Zhu and
S{\'{e}}bastien Bubeck and
Yuanzhi Li},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Make the Minority Great Again: First-Order Regret Bound for Contextual
Bandits},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {186--194},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/allen-zhu18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Allen-ZhuBL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AlmahairiRSBC18,
author = {Amjad Almahairi and
Sai Rajeswar and
Alessandro Sordoni and
Philip Bachman and
Aaron C. Courville},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {195--204},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/almahairi18a.html},
timestamp = {Sat, 28 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AlmahairiRSBC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AmitM18,
author = {Ron Amit and
Ron Meir},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {205--214},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/amit18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AmitM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AmodioK18,
author = {Matthew Amodio and
Smita Krishnaswamy},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{MAGAN:} Aligning Biological Manifolds},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {215--223},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/amodio18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AmodioK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AndoniLSZZ18,
author = {Alexandr Andoni and
Chengyu Lin and
Ying Sheng and
Peilin Zhong and
Ruiqi Zhong},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Subspace Embedding and Linear Regression with Orlicz Norm},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {224--233},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/andoni18a.html},
timestamp = {Thu, 06 Feb 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/AndoniLSZZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ArenzZN18,
author = {Oleg Arenz and
Mingjun Zhong and
Gerhard Neumann},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient Gradient-Free Variational Inference using Policy Search},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {234--243},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/arenz18a.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ArenzZN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Arora0NZ18,
author = {Sanjeev Arora and
Rong Ge and
Behnam Neyshabur and
Yi Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stronger Generalization Bounds for Deep Nets via a Compression Approach},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {254--263},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/arora18b.html},
timestamp = {Mon, 22 Nov 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/Arora0NZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AroraCH18,
author = {Sanjeev Arora and
Nadav Cohen and
Elad Hazan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {244--253},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/arora18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AroraCH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AsadiML18,
author = {Kavosh Asadi and
Dipendra Misra and
Michael L. Littman},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Lipschitz Continuity in Model-based Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {264--273},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/asadi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AsadiML18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AthalyeC018,
author = {Anish Athalye and
Nicholas Carlini and
David A. Wagner},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Obfuscated Gradients Give a False Sense of Security: Circumventing
Defenses to Adversarial Examples},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {274--283},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/athalye18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AthalyeC018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AthalyeEIK18,
author = {Anish Athalye and
Logan Engstrom and
Andrew Ilyas and
Kevin Kwok},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Synthesizing Robust Adversarial Examples},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {284--293},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/athalye18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AthalyeEIK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AwasthiV18,
author = {Pranjal Awasthi and
Aravindan Vijayaraghavan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Clustering Semi-Random Mixtures of Gaussians},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {294--303},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/awasthi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/AwasthiV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BacciuEM18,
author = {Davide Bacciu and
Federico Errica and
Alessio Micheli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Contextual Graph Markov Model: {A} Deep and Generative Approach to
Graph Processing},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {304--313},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bacciu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BacciuEM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BaiB18,
author = {Wenruo Bai and
Jeffrey A. Bilmes},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Greed is Still Good: Maximizing Monotone Submodular+Supermodular {(BP)}
Functions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {314--323},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bai18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BaiB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Baity-JesiSGSAC18,
author = {Marco Baity{-}Jesi and
Levent Sagun and
Mario Geiger and
Stefano Spigler and
G{\'{e}}rard Ben Arous and
Chiara Cammarota and
Yann LeCun and
Matthieu Wyart and
Giulio Biroli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Comparing Dynamics: Deep Neural Networks versus Glassy Systems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {324--333},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/baity-jesi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Baity-JesiSGSAC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BajajGHHL18,
author = {Chandrajit Bajaj and
Tingran Gao and
Zihang He and
Qixing Huang and
Zhenxiao Liang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{SMAC:} Simultaneous Mapping and Clustering Using Spectral Decompositions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {334--343},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bajaj18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BajajGHHL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BajgarKK18,
author = {Ondrej Bajgar and
Rudolf Kadlec and
Jan Kleindienst},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Boo(n) for Evaluating Architecture Performance},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {344--352},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bajgar18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BajgarKK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalcanDSV18,
author = {Maria{-}Florina Balcan and
Travis Dick and
Tuomas Sandholm and
Ellen Vitercik},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Branch},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {353--362},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balcan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalcanDSV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalduzziRMFTG18,
author = {David Balduzzi and
S{\'{e}}bastien Racani{\`{e}}re and
James Martens and
Jakob N. Foerster and
Karl Tuyls and
Thore Graepel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Mechanics of n-Player Differentiable Games},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {363--372},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balduzzi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalduzziRMFTG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalestrieroB18,
author = {Randall Balestriero and
Richard G. Baraniuk},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Spline Theory of Deep Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {383--392},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balestriero18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalestrieroB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalestrieroCGB18,
author = {Randall Balestriero and
Romain Cosentino and
Herv{\'{e}} Glotin and
Richard G. Baraniuk},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Spline Filters For End-to-End Deep Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {373--382},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balestriero18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalestrieroCGB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalkanskiS18,
author = {Eric Balkanski and
Yaron Singer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Approximation Guarantees for Adaptive Sampling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {393--402},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balkanski18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalkanskiS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalleW18,
author = {Borja Balle and
Yu{-}Xiang Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improving the Gaussian Mechanism for Differential Privacy: Analytical
Calibration and Optimal Denoising},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {403--412},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balle18a.html},
timestamp = {Wed, 12 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalleW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BallesH18,
author = {Lukas Balles and
Philipp Hennig},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {413--422},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balles18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BallesH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BalogTS18,
author = {Matej Balog and
Ilya O. Tolstikhin and
Bernhard Sch{\"{o}}lkopf},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentially Private Database Release via Kernel Mean Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {423--431},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/balog18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BalogTS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BamlerM18,
author = {Robert Bamler and
Stephan Mandt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improving Optimization in Models With Continuous Symmetry Breaking},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {432--441},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bamler18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BamlerM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BangS18,
author = {Duhyeon Bang and
Hyunjung Shim},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improved Training of Generative Adversarial Networks using Representative
Features},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {442--451},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bang18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BangS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BansalAB18,
author = {Abhishek Bansal and
Abhinav Anand and
Chiranjib Bhattacharyya},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Using Inherent Structures to design Lean 2-layer RBMs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {452--460},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bansal18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BansalAB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BaoNS18,
author = {Han Bao and
Gang Niu and
Masashi Sugiyama},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Classification from Pairwise Similarity and Unlabeled Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {461--470},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bao18a.html},
timestamp = {Thu, 28 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/BaoNS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BaptistaP18,
author = {Ricardo Baptista and
Matthias Poloczek},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bayesian Optimization of Combinatorial Structures},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {471--480},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/baptista18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BaptistaP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BaqueRFF18,
author = {Pierre Baqu{\'{e}} and
Edoardo Remelli and
Fran{\c{c}}ois Fleuret and
Pascal Fua},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Geodesic Convolutional Shape Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {481--490},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/baque18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BaqueRFF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BargiacchiVRNH18,
author = {Eugenio Bargiacchi and
Timothy Verstraeten and
Diederik M. Roijers and
Ann Now{\'{e}} and
Hado van Hasselt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Coordinate with Coordination Graphs in Repeated Single-Stage
Multi-Agent Decision Problems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {491--499},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bargiacchi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BargiacchiVRNH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BarmanBG18,
author = {Siddharth Barman and
Arnab Bhattacharyya and
Suprovat Ghoshal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Testing Sparsity over Known and Unknown Bases},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {500--509},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/barman18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BarmanBG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BarretoBQSSHMZM18,
author = {Andr{\'{e}} Barreto and
Diana Borsa and
John Quan and
Tom Schaul and
David Silver and
Matteo Hessel and
Daniel J. Mankowitz and
Augustin Z{\'{\i}}dek and
R{\'{e}}mi Munos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Transfer in Deep Reinforcement Learning Using Successor Features and
Generalised Policy Improvement},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {510--519},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/barreto18a.html},
timestamp = {Mon, 10 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/BarretoBQSSHMZM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BartlettHL18,
author = {Peter L. Bartlett and
David P. Helmbold and
Philip M. Long},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradient descent with identity initialization efficiently learns positive
definite linear transformations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {520--529},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bartlett18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BartlettHL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BelghaziBROBHC18,
author = {Mohamed Ishmael Belghazi and
Aristide Baratin and
Sai Rajeswar and
Sherjil Ozair and
Yoshua Bengio and
R. Devon Hjelm and
Aaron C. Courville},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Mutual Information Neural Estimation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {530--539},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/belghazi18a.html},
timestamp = {Sat, 28 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BelghaziBROBHC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BelkinMM18,
author = {Mikhail Belkin and
Siyuan Ma and
Soumik Mandal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {To Understand Deep Learning We Need to Understand Kernel Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {540--548},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/belkin18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BelkinMM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BenderKZVL18,
author = {Gabriel Bender and
Pieter{-}Jan Kindermans and
Barret Zoph and
Vijay Vasudevan and
Quoc V. Le},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Understanding and Simplifying One-Shot Architecture Search},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {549--558},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bender18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BenderKZVL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BernsteinWAA18,
author = {Jeremy Bernstein and
Yu{-}Xiang Wang and
Kamyar Azizzadenesheli and
Animashree Anandkumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{SIGNSGD:} Compressed Optimisation for Non-Convex Problems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {559--568},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bernstein18a.html},
timestamp = {Thu, 30 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BernsteinWAA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BhaskaraW18,
author = {Aditya Bhaskara and
Maheshakya Wijewardena},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Distributed Clustering via {LSH} Based Data Partitioning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {569--578},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bhaskara18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BhaskaraW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BinkowskiMD18,
author = {Mikolaj Binkowski and
Gautier Marti and
Philippe Donnat},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Autoregressive Convolutional Neural Networks for Asynchronous Time
Series},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {579--588},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/binkowski18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BinkowskiMD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BlancR18,
author = {Guy Blanc and
Steffen Rendle},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adaptive Sampled Softmax with Kernel Based Sampling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {589--598},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/blanc18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BlancR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BojanowskiJLS18,
author = {Piotr Bojanowski and
Armand Joulin and
David Lopez{-}Paz and
Arthur Szlam},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Optimizing the Latent Space of Generative Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {599--608},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bojanowski18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BojanowskiJLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BojchevskiSZG18,
author = {Aleksandar Bojchevski and
Oleksandr Shchur and
Daniel Z{\"{u}}gner and
Stephan G{\"{u}}nnemann},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {NetGAN: Generating Graphs via Random Walks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {609--618},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bojchevski18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BojchevskiSZG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BollapragadaMNS18,
author = {Raghu Bollapragada and
Dheevatsa Mudigere and
Jorge Nocedal and
Hao{-}Jun Michael Shi and
Ping Tak Peter Tang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Progressive Batching {L-BFGS} Method for Machine Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {619--628},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bollapragada18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BollapragadaMNS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BonakdarpourCBL18,
author = {Matt Bonakdarpour and
Sabyasachi Chatterjee and
Rina Foygel Barber and
John Lafferty},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Prediction Rule Reshaping},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {629--637},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/bonakdarpour18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BonakdarpourCBL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BoracchiCCM18,
author = {Giacomo Boracchi and
Diego Carrera and
Cristiano Cervellera and
Danilo Macci{\`{o}}},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {QuantTree: Histograms for Change Detection in Multivariate Data Streams},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {638--647},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/boracchi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BoracchiCCM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BravermanCKLWY18,
author = {Vladimir Braverman and
Stephen R. Chestnut and
Robert Krauthgamer and
Yi Li and
David P. Woodruff and
Lin F. Yang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {648--657},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/braverman18a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BravermanCKLWY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BrukhimG18,
author = {Nataly Brukhim and
Amir Globerson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Predict and Constrain: Modeling Cardinality in Deep Structured Prediction},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {658--666},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/brukhim18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BrukhimG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/BuchholzWM18,
author = {Alexander Buchholz and
Florian Wenzel and
Stephan Mandt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Quasi-Monte Carlo Variational Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {667--676},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/buchholz18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/BuchholzWM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CaiYZHY18,
author = {Han Cai and
Jiacheng Yang and
Weinan Zhang and
Song Han and
Yong Yu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Path-Level Network Transformation for Efficient Architecture Search},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {677--686},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cai18a.html},
timestamp = {Tue, 24 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/CaiYZHY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CalandrielloKLV18,
author = {Daniele Calandriello and
Ioannis Koutis and
Alessandro Lazaric and
Michal Valko},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improved Large-Scale Graph Learning through Ridge Spectral Sparsification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {687--696},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/calandriello18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CalandrielloKLV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CampbellB18,
author = {Trevor Campbell and
Tamara Broderick},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {697--705},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/campbell18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CampbellB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CaoGWSHT18,
author = {Jiezhang Cao and
Yong Guo and
Qingyao Wu and
Chunhua Shen and
Junzhou Huang and
Mingkui Tan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarial Learning with Local Coordinate Coding},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {706--714},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cao18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CaoGWSHT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CelisKS0KV18,
author = {L. Elisa Celis and
Vijay Keswani and
Damian Straszak and
Amit Deshpande and
Tarun Kathuria and
Nisheeth K. Vishnoi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fair and Diverse DPP-Based Data Summarization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {715--724},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/celis18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CelisKS0KV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CeylanG18,
author = {Ciwan Ceylan and
Michael U. Gutmann},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Conditional Noise-Contrastive Estimation of Unnormalised Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {725--733},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ceylan18a.html},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CeylanG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChapfuwaTLPGCH18,
author = {Paidamoyo Chapfuwa and
Chenyang Tao and
Chunyuan Li and
Courtney Page and
Benjamin Alan Goldstein and
Lawrence Carin and
Ricardo Henao},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarial Time-to-Event Modeling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {734--743},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chapfuwa18a.html},
timestamp = {Mon, 21 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ChapfuwaTLPGCH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CharlesP18,
author = {Zachary Charles and
Dimitris S. Papailiopoulos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stability and Generalization of Learning Algorithms that Converge
to Global Optima},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {744--753},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/charles18a.html},
timestamp = {Wed, 27 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CharlesP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Chatterjee18,
author = {Satrajit Chatterjee},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning and Memorization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {754--762},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chatterjee18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Chatterjee18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChatterjiFMBJ18,
author = {Niladri S. Chatterji and
Nicolas Flammarion and
Yi{-}An Ma and
Peter L. Bartlett and
Michael I. Jordan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Theory of Variance Reduction for Stochastic Gradient Monte
Carlo},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {763--772},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chatterji18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChatterjiFMBJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChatziafratisNC18,
author = {Vaggos Chatziafratis and
Rad Niazadeh and
Moses Charikar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hierarchical Clustering with Structural Constraints},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {773--782},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chatziafratis18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChatziafratisNC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChePLJL18,
author = {Zhengping Che and
Sanjay Purushotham and
Max Guangyu Li and
Bo Jiang and
Yan Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hierarchical Deep Generative Models for Multi-Rate Multivariate Time
Series},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {783--792},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/che18a.html},
timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ChePLJL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenBLR18,
author = {Zhao Chen and
Vijay Badrinarayanan and
Chen{-}Yu Lee and
Andrew Rabinovich},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
Multitask Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {793--802},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18a.html},
timestamp = {Fri, 13 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenBLR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenHHK18,
author = {Lin Chen and
Christopher Harshaw and
Hamed Hassani and
Amin Karbasi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Projection-Free Online Optimization with Stochastic Gradient: From
Convexity to Submodularity},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {813--822},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18c.html},
timestamp = {Mon, 27 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenHHK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenLCWPC18,
author = {Changyou Chen and
Chunyuan Li and
Liquan Chen and
Wenlin Wang and
Yunchen Pu and
Lawrence Carin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Continuous-Time Flows for Efficient Inference and Density Estimation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {823--832},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenLCWPC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenLW18,
author = {Yichen Chen and
Lihong Li and
Mengdi Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Scalable Bilinear Learning Using State and Action Features},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {833--842},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenLW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenMGBO18,
author = {Wilson Ye Chen and
Lester W. Mackey and
Jackson Gorham and
Fran{\c{c}}ois{-}Xavier Briol and
Chris J. Oates},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stein Points},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {843--852},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18f.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenMGBO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenMRA18,
author = {Xi Chen and
Nikhil Mishra and
Mostafa Rohaninejad and
Pieter Abbeel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {PixelSNAIL: An Improved Autoregressive Generative Model},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {863--871},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18h.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenMRA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenMS18,
author = {Ting Chen and
Martin Renqiang Min and
Yizhou Sun},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning K-way D-dimensional Discrete Codes for Compact Embedding
Representations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {853--862},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18g.html},
timestamp = {Wed, 17 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenMS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenPS18,
author = {Minmin Chen and
Jeffrey Pennington and
Samuel S. Schoenholz},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables
Signal Propagation in Recurrent Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {872--881},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18i.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenPS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenSWJ18,
author = {Jianbo Chen and
Le Song and
Martin J. Wainwright and
Michael I. Jordan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Explain: An Information-Theoretic Perspective on Model
Interpretation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {882--891},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18j.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenSWJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenTZHC18,
author = {Liqun Chen and
Chenyang Tao and
Ruiyi Zhang and
Ricardo Henao and
Lawrence Carin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Variational Inference and Model Selection with Generalized Evidence
Bounds},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {892--901},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18k.html},
timestamp = {Fri, 02 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenTZHC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenWCP18,
author = {Lingjiao Chen and
Hongyi Wang and
Zachary Charles and
Dimitris S. Papailiopoulos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{DRACO:} Byzantine-resilient Distributed Training via Redundant Gradients},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {902--911},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18l.html},
timestamp = {Wed, 06 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ChenWCP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenXCY18,
author = {Zaiyi Chen and
Yi Xu and
Enhong Chen and
Tianbao Yang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{SADAGRAD:} Strongly Adaptive Stochastic Gradient Methods},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {912--920},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18m.html},
timestamp = {Mon, 26 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenXCY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenXG18,
author = {Di Chen and
Yexiang Xue and
Carla P. Gomes},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {End-to-End Learning for the Deep Multivariate Probit Model},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {931--940},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18o.html},
timestamp = {Wed, 10 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ChenXG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenXW0G18,
author = {Jinghui Chen and
Pan Xu and
Lingxiao Wang and
Jian Ma and
Quanquan Gu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {921--930},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18n.html},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenXW0G18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChenZS18,
author = {Jianfei Chen and
Jun Zhu and
Le Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Training of Graph Convolutional Networks with Variance
Reduction},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {941--949},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chen18p.html},
timestamp = {Wed, 22 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChenZS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChengDH18,
author = {Minhao Cheng and
Ian Davidson and
Cho{-}Jui Hsieh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Extreme Learning to Rank via Low Rank Assumption},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {950--959},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cheng18a.html},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChengDH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Chierichetti0T18,
author = {Flavio Chierichetti and
Ravi Kumar and
Andrew Tomkins},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning a Mixture of Two Multinomial Logits},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {960--968},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chierichetti18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Chierichetti0T18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChoromanskiRSTW18,
author = {Krzysztof Choromanski and
Mark Rowland and
Vikas Sindhwani and
Richard E. Turner and
Adrian Weller},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Structured Evolution with Compact Architectures for Scalable Policy
Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {969--977},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/choromanski18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChoromanskiRSTW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChowNG18,
author = {Yinlam Chow and
Ofir Nachum and
Mohammad Ghavamzadeh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Path Consistency Learning in Tsallis Entropy Regularized MDPs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {978--987},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chow18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChowNG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ChowdhuryYD18,
author = {Agniva Chowdhury and
Jiasen Yang and
Petros Drineas},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Iterative, Sketching-based Framework for Ridge Regression},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {988--997},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/chowdhury18a.html},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ChowdhuryYD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ClaiciCS18,
author = {Sebastian Claici and
Edward Chien and
Justin Solomon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Wasserstein Barycenters},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {998--1007},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/claici18a.html},
timestamp = {Thu, 16 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ClaiciCS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Co-ReyesLGEAL18,
author = {John D. Co{-}Reyes and
Yuxuan Liu and
Abhishek Gupta and
Benjamin Eysenbach and
Pieter Abbeel and
Sergey Levine},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement
Learning with Trajectory Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1008--1017},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/co-reyes18a.html},
timestamp = {Thu, 30 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Co-ReyesLGEAL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CohenDO18,
author = {Michael Cohen and
Jelena Diakonikolas and
Lorenzo Orecchia},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On Acceleration with Noise-Corrupted Gradients},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1018--1027},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cohen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CohenDO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CohenHKLMT18,
author = {Alon Cohen and
Avinatan Hassidim and
Tomer Koren and
Nevena Lazic and
Yishay Mansour and
Kunal Talwar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Online Linear Quadratic Control},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1028--1037},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cohen18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CohenHKLMT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ColasSO18,
author = {C{\'{e}}dric Colas and
Olivier Sigaud and
Pierre{-}Yves Oudeyer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{GEP-PG:} Decoupling Exploration and Exploitation in Deep Reinforcement
Learning Algorithms},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1038--1047},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/colas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ColasSO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CormodeDW18,
author = {Graham Cormode and
Charlie Dickens and
David P. Woodruff},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries
in Minkowski p-Norms},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1048--1056},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cormode18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CormodeDW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CorneilGB18,
author = {Dane S. Corneil and
Wulfram Gerstner and
Johanni Brea},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient ModelBased Deep Reinforcement Learning with Variational
State Tabulation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1057--1066},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/corneil18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CorneilGB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CortesDGMY18,
author = {Corinna Cortes and
Giulia DeSalvo and
Claudio Gentile and
Mehryar Mohri and
Scott Yang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Online Learning with Abstention},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1067--1075},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cortes18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CortesDGMY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CotterFYGB18,
author = {Andrew Cotter and
Mahdi Milani Fard and
Seungil You and
Maya R. Gupta and
Jeff A. Bilmes},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Constrained Interacting Submodular Groupings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1076--1085},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cotter18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CotterFYGB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CremerLD18,
author = {Chris Cremer and
Xuechen Li and
David Duvenaud},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Inference Suboptimality in Variational Autoencoders},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1086--1094},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/cremer18a.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CremerLD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/CzarneckiJJHTHO18,
author = {Wojciech Marian Czarnecki and
Siddhant M. Jayakumar and
Max Jaderberg and
Leonard Hasenclever and
Yee Whye Teh and
Nicolas Heess and
Simon Osindero and
Razvan Pascanu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Mix {\&} Match Agent Curricula for Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1095--1103},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/czarnecki18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/CzarneckiJJHTHO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DabneyOSM18,
author = {Will Dabney and
Georg Ostrovski and
David Silver and
R{\'{e}}mi Munos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Implicit Quantile Networks for Distributional Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1104--1113},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dabney18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DabneyOSM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DaiKDSS18,
author = {Hanjun Dai and
Zornitsa Kozareva and
Bo Dai and
Alexander J. Smola and
Le Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Steady-States of Iterative Algorithms over Graphs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1114--1122},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dai18a.html},
timestamp = {Thu, 29 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DaiKDSS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DaiLTHWZS18,
author = {Hanjun Dai and
Hui Li and
Tian Tian and
Xin Huang and
Lin Wang and
Jun Zhu and
Le Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarial Attack on Graph Structured Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1123--1132},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dai18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DaiLTHWZS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DaiS0XHLCS18,
author = {Bo Dai and
Albert E. Shaw and
Lihong Li and
Lin Xiao and
Niao He and
Zhen Liu and
Jianshu Chen and
Le Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{SBEED:} Convergent Reinforcement Learning with Nonlinear Function
Approximation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1133--1142},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dai18c.html},
timestamp = {Thu, 29 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DaiS0XHLCS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DaiZGW18,
author = {Bin Dai and
Chen Zhu and
Baining Guo and
David P. Wipf},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Compressing Neural Networks using the Variational Information Bottleneck},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1143--1152},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dai18d.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DaiZGW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DamaskinosMGPT18,
author = {Georgios Damaskinos and
El Mahdi El Mhamdi and
Rachid Guerraoui and
Rhicheek Patra and
Mahsa Taziki},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Asynchronous Byzantine Machine Learning (the case of {SGD)}},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1153--1162},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/damaskinos18a.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/DamaskinosMGPT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DaneshmandKLH18,
author = {Hadi Daneshmand and
Jonas Moritz Kohler and
Aur{\'{e}}lien Lucchi and
Thomas Hofmann},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Escaping Saddles with Stochastic Gradients},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1163--1172},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/daneshmand18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DaneshmandKLH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DentonF18,
author = {Emily Denton and
Rob Fergus},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Video Generation with a Learned Prior},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1182--1191},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/denton18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DentonF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DepewegHDU18,
author = {Stefan Depeweg and
Jos{\'{e}} Miguel Hern{\'{a}}ndez{-}Lobato and
Finale Doshi{-}Velez and
Steffen Udluft},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Decomposition of Uncertainty in Bayesian Deep Learning for Efficient
and Risk-sensitive Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1192--1201},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/depeweg18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DepewegHDU18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DeshpandeMST18,
author = {Yash Deshpande and
Lester W. Mackey and
Vasilis Syrgkanis and
Matt Taddy},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Accurate Inference for Adaptive Linear Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1202--1211},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/deshpande18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DeshpandeMST18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DezfouliBN18,
author = {Amir Dezfouli and
Edwin V. Bonilla and
Richard Nock},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Variational Network Inference: Strong and Stable with Concrete Support},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1212--1221},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dezfouli18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DezfouliBN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DharGE18,
author = {Manik Dhar and
Aditya Grover and
Stefano Ermon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Modeling Sparse Deviations for Compressed Sensing using Generative
Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1222--1231},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dhar18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DharGE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DiakonikolasO18,
author = {Jelena Diakonikolas and
Lorenzo Orecchia},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Alternating Randomized Block Coordinate Descent},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1232--1240},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/diakonikolas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DiakonikolasO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DibangoyeB18,
author = {Jilles Steeve Dibangoye and
Olivier Buffet},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Act in Decentralized Partially Observable MDPs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1241--1250},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dibangoye18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DibangoyeB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DiengRAB18,
author = {Adji Bousso Dieng and
Rajesh Ranganath and
Jaan Altosaar and
David M. Blei},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Noisin: Unbiased Regularization for Recurrent Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1251--1260},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dieng18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DiengRAB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DietterichTC18,
author = {Thomas G. Dietterich and
George Trimponias and
Zhitang Chen},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Discovering and Removing Exogenous State Variables and Rewards for
Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1261--1269},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dietterich18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DietterichTC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DimakopoulouR18,
author = {Maria Dimakopoulou and
Benjamin Van Roy},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Coordinated Exploration in Concurrent Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1270--1278},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dimakopoulou18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DimakopoulouR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DoerrDSNSTT18,
author = {Andreas Doerr and
Christian Daniel and
Martin Schiegg and
Duy Nguyen{-}Tuong and
Stefan Schaal and
Marc Toussaint and
Sebastian Trimpe},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Probabilistic Recurrent State-Space Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1279--1288},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/doerr18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DoerrDSNSTT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DoikovR18,
author = {Nikita Doikov and
Peter Richt{\'{a}}rik},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Randomized Block Cubic Newton Method},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1289--1297},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/doikov18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DoikovR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DouikH18,
author = {Ahmed Douik and
Babak Hassibi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic
Matrices with Applications to Graph Clustering},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1298--1307},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/douik18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DouikH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DraxlerVSH18,
author = {Felix Draxler and
Kambis Veschgini and
Manfred Salmhofer and
Fred A. Hamprecht},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Essentially No Barriers in Neural Network Energy Landscape},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1308--1317},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/draxler18a.html},
timestamp = {Wed, 29 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DraxlerVSH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Drutsa18,
author = {Alexey Drutsa},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price
Auctions with Strategic Buyer},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1318--1327},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/drutsa18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Drutsa18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DuL18,
author = {Simon S. Du and
Jason D. Lee},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Power of Over-parametrization in Neural Networks with Quadratic
Activation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1328--1337},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/du18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DuL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DuLTSP18,
author = {Simon S. Du and
Jason D. Lee and
Yuandong Tian and
Aarti Singh and
Barnab{\'{a}}s P{\'{o}}czos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradient Descent Learns One-hidden-layer {CNN:} Don't be Afraid of
Spurious Local Minima},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1338--1347},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/du18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DuLTSP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DubeyAPGE18,
author = {Rachit Dubey and
Pulkit Agrawal and
Deepak Pathak and
Tom Griffiths and
Alexei A. Efros},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Investigating Human Priors for Playing Video Games},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1348--1356},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dubey18a.html},
timestamp = {Sun, 02 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DubeyAPGE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DunnerLGBHJ18,
author = {Celestine D{\"{u}}nner and
Aur{\'{e}}lien Lucchi and
Matilde Gargiani and
An Bian and
Thomas Hofmann and
Martin Jaggi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Distributed Second-Order Algorithm You Can Trust},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1357--1365},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/duenner18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/DunnerLGBHJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/DvurechenskyGK18,
author = {Pavel E. Dvurechensky and
Alexander V. Gasnikov and
Alexey Kroshnin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Computational Optimal Transport: Complexity by Accelerated Gradient
Descent Is Better Than by Sinkhorn's Algorithm},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1366--1375},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dvurechensky18a.html},
timestamp = {Mon, 22 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/DvurechenskyGK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Dziugaite018,
author = {Gintare Karolina Dziugaite and
Daniel M. Roy},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization
properties of Entropy-SGD and data-dependent priors},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1376--1385},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/dziugaite18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Dziugaite018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/EfroniDSM18,
author = {Yonathan Efroni and
Gal Dalal and
Bruno Scherrer and
Shie Mannor},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Beyond the One-Step Greedy Approach in Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1386--1395},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/efroni18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/EfroniDSM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/EsfandiariLM18,
author = {Hossein Esfandiari and
Silvio Lattanzi and
Vahab S. Mirrokni},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Parallel and Streaming Algorithms for K-Core Decomposition},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1396--1405},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/esfandiari18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/EsfandiariLM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/EspeholtSMSMWDF18,
author = {Lasse Espeholt and
Hubert Soyer and
R{\'{e}}mi Munos and
Karen Simonyan and
Volodymyr Mnih and
Tom Ward and
Yotam Doron and
Vlad Firoiu and
Tim Harley and
Iain Dunning and
Shane Legg and
Koray Kavukcuoglu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{IMPALA:} Scalable Distributed Deep-RL with Importance Weighted Actor-Learner
Architectures},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1406--1415},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/espeholt18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/EspeholtSMSMWDF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/EvansN18,
author = {Trefor W. Evans and
Prasanth B. Nair},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Scalable Gaussian Processes with Grid-Structured Eigenfunctions {(GP-GRIEF)}},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1416--1425},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/evans18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/EvansN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FalahatgarJOPR18,
author = {Moein Falahatgar and
Ayush Jain and
Alon Orlitsky and
Venkatadheeraj Pichapati and
Vaishakh Ravindrakumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Limits of Maxing, Ranking, and Preference Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1426--1435},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/falahatgar18a.html},
timestamp = {Mon, 15 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FalahatgarJOPR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FalknerKH18,
author = {Stefan Falkner and
Aaron Klein and
Frank Hutter},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{BOHB:} Robust and Efficient Hyperparameter Optimization at Scale},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1436--1445},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/falkner18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FalknerKH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FarajtabarCG18,
author = {Mehrdad Farajtabar and
Yinlam Chow and
Mohammad Ghavamzadeh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {More Robust Doubly Robust Off-policy Evaluation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1446--1455},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/farajtabar18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FarajtabarCG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FathonyBZZ18,
author = {Rizal Fathony and
Sima Behpour and
Xinhua Zhang and
Brian D. Ziebart},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient and Consistent Adversarial Bipartite Matching},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1456--1465},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fathony18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FathonyBZZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Fazel0KM18,
author = {Maryam Fazel and
Rong Ge and
Sham M. Kakade and
Mehran Mesbahi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Global Convergence of Policy Gradient Methods for the Linear Quadratic
Regulator},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1466--1475},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fazel18a.html},
timestamp = {Tue, 23 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Fazel0KM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FazelniaP18,
author = {Ghazal Fazelnia and
John W. Paisley},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{CRVI:} Convex Relaxation for Variational Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1476--1484},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fazelnia18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FazelniaP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FellowsCW18,
author = {Matthew Fellows and
Kamil Ciosek and
Shimon Whiteson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fourier Policy Gradients},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1485--1494},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fellows18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FellowsCW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FengWCS18,
author = {Jean Feng and
Brian D. Williamson and
Marco Carone and
Noah Simon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Nonparametric variable importance using an augmented neural network
with multi-task learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1495--1504},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/feng18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FengWCS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FilstroffLF18,
author = {Louis Filstroff and
Alberto Lumbreras and
C{\'{e}}dric F{\'{e}}votte},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1505--1513},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/filstroff18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FilstroffLF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FlorensaHGA18,
author = {Carlos Florensa and
David Held and
Xinyang Geng and
Pieter Abbeel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Automatic Goal Generation for Reinforcement Learning Agents},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1514--1523},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/florensa18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FlorensaHGA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FoersterFARXW18,
author = {Jakob N. Foerster and
Gregory Farquhar and
Maruan Al{-}Shedivat and
Tim Rockt{\"{a}}schel and
Eric P. Xing and
Shimon Whiteson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {DiCE: The Infinitely Differentiable Monte Carlo Estimator},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1524--1533},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/foerster18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FoersterFARXW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FosterADLS18,
author = {Dylan J. Foster and
Alekh Agarwal and
Miroslav Dud{\'{\i}}k and
Haipeng Luo and
Robert E. Schapire},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Practical Contextual Bandits with Regression Oracles},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1534--1543},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/foster18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FosterADLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FraccaroRZPEV18,
author = {Marco Fraccaro and
Danilo Jimenez Rezende and
Yori Zwols and
Alexander Pritzel and
S. M. Ali Eslami and
Fabio Viola},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Generative Temporal Models with Spatial Memory for Partially Observed
Environments},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1544--1553},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fraccaro18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FraccaroRZPEV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FrancaRV18,
author = {Guilherme Fran{\c{c}}a and
Daniel P. Robinson and
Ren{\'{e}} Vidal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{ADMM} and Accelerated {ADMM} as Continuous Dynamical Systems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1554--1562},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/franca18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FrancaRV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FranceschiFSGP18,
author = {Luca Franceschi and
Paolo Frasconi and
Saverio Salzo and
Riccardo Grazzi and
Massimiliano Pontil},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bilevel Programming for Hyperparameter Optimization and Meta-Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1563--1572},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/franceschi18a.html},
timestamp = {Wed, 15 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FranceschiFSGP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FruitPLO18,
author = {Ronan Fruit and
Matteo Pirotta and
Alessandro Lazaric and
Ronald Ortner},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement
Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1573--1581},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fruit18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FruitPLO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FujimotoHM18,
author = {Scott Fujimoto and
Herke van Hoof and
David Meger},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Addressing Function Approximation Error in Actor-Critic Methods},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1582--1591},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fujimoto18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FujimotoHM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FujitaM18,
author = {Yasuhiro Fujita and
Shin{-}ichi Maeda},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Clipped Action Policy Gradient},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1592--1601},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/fujita18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FujitaM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FurlanelloLTIA18,
author = {Tommaso Furlanello and
Zachary Chase Lipton and
Michael Tschannen and
Laurent Itti and
Anima Anandkumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Born-Again Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1602--1611},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/furlanello18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/FurlanelloLTIA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Gaboardi018,
author = {Marco Gaboardi and
Ryan Rogers},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Local Private Hypothesis Testing: Chi-Square Tests},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1612--1621},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gaboardi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Gaboardi018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GanapathiramanS18,
author = {Vignesh Ganapathiraman and
Zhan Shi and
Xinhua Zhang and
Yaoliang Yu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Inductive Two-layer Modeling with Parametric Bregman Transfer},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1622--1631},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ganapathiraman18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GanapathiramanS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GaneaBH18,
author = {Octavian{-}Eugen Ganea and
Gary B{\'{e}}cigneul and
Thomas Hofmann},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hyperbolic Entailment Cones for Learning Hierarchical Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1632--1641},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ganea18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GaneaBH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GanianKOS18,
author = {Robert Ganian and
Iyad A. Kanj and
Sebastian Ordyniak and
Stefan Szeider},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Parameterized Algorithms for the Matrix Completion Problem},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1642--1651},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ganian18a.html},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GanianKOS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GaninKBEV18,
author = {Yaroslav Ganin and
Tejas Kulkarni and
Igor Babuschkin and
S. M. Ali Eslami and
Oriol Vinyals},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Synthesizing Programs for Images using Reinforced Adversarial Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1652--1661},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ganin18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GaninKBEV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GaoCL18,
author = {Yuanxiang Gao and
Li Chen and
Baochun Li},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Spotlight: Optimizing Device Placement for Training Deep Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1662--1670},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gao18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GaoCL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GaoW18,
author = {Tian Gao and
Dennis Wei},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Parallel Bayesian Network Structure Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1671--1680},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gao18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GaoW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GarciaCEd18,
author = {Alexandre Garcia and
Chlo{\'{e}} Clavel and
Slim Essid and
Florence d'Alch{\'{e}}{-}Buc},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Structured Output Learning with Abstention: Application to Accurate
Opinion Prediction},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1681--1689},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/garcia18a.html},
timestamp = {Fri, 24 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GarciaCEd18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GarneloRMRSSTRE18,
author = {Marta Garnelo and
Dan Rosenbaum and
Christopher Maddison and
Tiago Ramalho and
David Saxton and
Murray Shanahan and
Yee Whye Teh and
Danilo Jimenez Rezende and
S. M. Ali Eslami},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Conditional Neural Processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1690--1699},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/garnelo18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GarneloRMRSSTRE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GengKPP18,
author = {Sinong Geng and
Zhaobin Kuang and
Peggy L. Peissig and
David Page},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Temporal Poisson Square Root Graphical Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1700--1709},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/geng18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GengKPP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Georgogiannis18,
author = {Alexandros Georgogiannis},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Generalization Error of Dictionary Learning with Moreau Envelopes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1710--1718},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/georgogiannis18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Georgogiannis18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GhassamiSKB18,
author = {AmirEmad Ghassami and
Saber Salehkaleybar and
Negar Kiyavash and
Elias Bareinboim},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Budgeted Experiment Design for Causal Structure Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1719--1728},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ghassami18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GhassamiSKB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GhodsLGS18,
author = {Ramina Ghods and
Andrew S. Lan and
Tom Goldstein and
Christoph Studer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Linear Spectral Estimators and an Application to Phase Retrieval},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1729--1738},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ghods18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GhodsLGS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GhoshYD18,
author = {Soumya Ghosh and
Jiayu Yao and
Finale Doshi{-}Velez},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Structured Variational Learning of Bayesian Neural Networks with Horseshoe
Priors},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1739--1748},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ghosh18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GhoshYD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GhoshalH18,
author = {Asish Ghoshal and
Jean Honorio},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction
in Polynomial Time},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1749--1757},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ghoshal18a.html},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GhoshalH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GibsonG18,
author = {Travis E. Gibson and
Georg K. Gerber},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Robust and Scalable Models of Microbiome Dynamics},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1758--1767},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gibson18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GibsonG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GilraG18,
author = {Aditya Gilra and
Wulfram Gerstner},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Non-Linear Motor Control by Local Learning in Spiking Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1768--1777},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gilra18a.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/GilraG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GoelKM18,
author = {Surbhi Goel and
Adam R. Klivans and
Raghu Meka},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning One Convolutional Layer with Overlapping Patches},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1778--1786},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/goel18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GoelKM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GreydanusKDF18,
author = {Samuel Greydanus and
Anurag Koul and
Jonathan Dodge and
Alan Fern},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Visualizing and Understanding Atari Agents},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1787--1796},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/greydanus18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GreydanusKDF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GroverAGBE18,
author = {Aditya Grover and
Maruan Al{-}Shedivat and
Jayesh K. Gupta and
Yuri Burda and
Harrison Edwards},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Policy Representations in Multiagent Systems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1797--1806},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/grover18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GroverAGBE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GuHDH18,
author = {Bin Gu and
Zhouyuan Huo and
Cheng Deng and
Heng Huang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1807--1816},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gu18a.html},
timestamp = {Wed, 01 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/GuHDH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GuezWASVWMS18,
author = {Arthur Guez and
Theophane Weber and
Ioannis Antonoglou and
Karen Simonyan and
Oriol Vinyals and
Daan Wierstra and
R{\'{e}}mi Munos and
David Silver},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Search with MCTSnets},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1817--1826},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/guez18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GuezWASVWMS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/GunasekarLSS18,
author = {Suriya Gunasekar and
Jason D. Lee and
Daniel Soudry and
Nathan Srebro},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Characterizing Implicit Bias in Terms of Optimization Geometry},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1827--1836},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/gunasekar18a.html},
timestamp = {Wed, 18 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/GunasekarLSS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HaarnojaHAL18,
author = {Tuomas Haarnoja and
Kristian Hartikainen and
Pieter Abbeel and
Sergey Levine},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Latent Space Policies for Hierarchical Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1846--1855},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/haarnoja18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HaarnojaHAL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HaarnojaZAL18,
author = {Tuomas Haarnoja and
Aurick Zhou and
Pieter Abbeel and
Sergey Levine},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning
with a Stochastic Actor},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1856--1865},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/haarnoja18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HaarnojaZAL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HaghiriGL18,
author = {Siavash Haghiri and
Damien Garreau and
Ulrike von Luxburg},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Comparison-Based Random Forests},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1866--1875},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/haghiri18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HaghiriGL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HammN18,
author = {Jihun Hamm and
Yung{-}Kyun Noh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1876--1884},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hamm18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HammN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HanHZ18,
author = {Lei Han and
Yiheng Huang and
Tong Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Candidates vs. Noises Estimation for Large Multi-Class Classification
Problem},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1885--1894},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/han18a.html},
timestamp = {Tue, 13 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HanHZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HanL18,
author = {Jun Han and
Qiang Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stein Variational Gradient Descent Without Gradient},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1895--1903},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/han18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HanL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HartfordGLR18,
author = {Jason S. Hartford and
Devon R. Graham and
Kevin Leyton{-}Brown and
Siamak Ravanbakhsh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Models of Interactions Across Sets},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1914--1923},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hartford18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HartfordGLR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HashemiSSALCKR18,
author = {Milad Hashemi and
Kevin Swersky and
Jamie A. Smith and
Grant Ayers and
Heiner Litz and
Jichuan Chang and
Christos Kozyrakis and
Parthasarathy Ranganathan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Memory Access Patterns},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1924--1933},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hashemi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HashemiSSALCKR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HashimotoSNL18,
author = {Tatsunori B. Hashimoto and
Megha Srivastava and
Hongseok Namkoong and
Percy Liang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fairness Without Demographics in Repeated Loss Minimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1934--1943},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hashimoto18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HashimotoSNL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Hebert-JohnsonK18,
author = {{\'{U}}rsula H{\'{e}}bert{-}Johnson and
Michael P. Kim and
Omer Reingold and
Guy N. Rothblum},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Multicalibration: Calibration for the (Computationally-Identifiable)
Masses},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1944--1953},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hebert-johnson18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Hebert-JohnsonK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HefnyM0SG18,
author = {Ahmed Hefny and
Zita Marinho and
Wen Sun and
Siddhartha S. Srinivasa and
Geoffrey J. Gordon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Recurrent Predictive State Policy Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1954--1963},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hefny18a.html},
timestamp = {Wed, 24 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HefnyM0SG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HeinonenYMIL18,
author = {Markus Heinonen and
{\c{C}}agatay Yildiz and
Henrik Mannerstr{\"{o}}m and
Jukka Intosalmi and
Harri L{\"{a}}hdesm{\"{a}}ki},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning unknown {ODE} models with Gaussian processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1964--1973},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/heinonen18a.html},
timestamp = {Mon, 28 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/HeinonenYMIL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HelfrichWY18,
author = {Kyle Helfrich and
Devin Willmott and
Qiang Ye},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Orthogonal Recurrent Neural Networks with Scaled Cayley Transform},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1974--1983},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/helfrich18a.html},
timestamp = {Mon, 23 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/HelfrichWY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HoPW18,
author = {Chin Pang Ho and
Marek Petrik and
Wolfram Wiesemann},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Bellman Updates for Robust MDPs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1984--1993},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ho18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HoPW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HoffmanTPZISED18,
author = {Judy Hoffman and
Eric Tzeng and
Taesung Park and
Jun{-}Yan Zhu and
Phillip Isola and
Kate Saenko and
Alexei A. Efros and
Trevor Darrell},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {CyCADA: Cycle-Consistent Adversarial Domain Adaptation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1994--2003},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hoffman18a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HoffmanTPZISED18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HoltzenBM18,
author = {Steven Holtzen and
Guy Van den Broeck and
Todd D. Millstein},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Sound Abstraction and Decomposition of Probabilistic Programs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2004--2013},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/holtzen18a.html},
timestamp = {Thu, 23 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HoltzenBM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HongRL18,
author = {Mingyi Hong and
Meisam Razaviyayn and
Jason D. Lee},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradient Primal-Dual Algorithm Converges to Second-Order Stationary
Solution for Nonconvex Distributed Optimization Over Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2014--2023},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hong18a.html},
timestamp = {Mon, 26 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HongRL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HronMG18,
author = {Jiri Hron and
Alexander G. de G. Matthews and
Zoubin Ghahramani},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Variational Bayesian dropout: pitfalls and fixes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2024--2033},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hron18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HronMG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HuNSS18,
author = {Weihua Hu and
Gang Niu and
Issei Sato and
Masashi Sugiyama},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Does Distributionally Robust Supervised Learning Give Robust Classifiers?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2034--2042},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hu18a.html},
timestamp = {Tue, 01 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HuNSS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HuWL18,
author = {Bin Hu and
Stephen J. Wright and
Laurent Lessard},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dissipativity Theory for Accelerating Stochastic Variance Reduction:
{A} Unified Analysis of {SVRG} and Katyusha Using Semidefinite Programs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2043--2052},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/hu18b.html},
timestamp = {Fri, 24 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/HuWL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Huang0S18,
author = {Kejun Huang and
Xiao Fu and
Nicholas D. Sidiropoulos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Hidden Markov Models from Pairwise Co-occurrences with Application
to Topic Modeling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2073--2082},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/huang18c.html},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/Huang0S18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Huang18,
author = {Zengfeng Huang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2053--2062},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/huang18a.html},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/Huang18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HuangA0S18,
author = {Furong Huang and
Jordan T. Ash and
John Langford and
Robert E. Schapire},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Deep ResNet Blocks Sequentially using Boosting Theory},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2063--2072},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/huang18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HuangA0S18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HuangKLC18,
author = {Chin{-}Wei Huang and
David Krueger and
Alexandre Lacoste and
Aaron C. Courville},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Neural Autoregressive Flows},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2083--2092},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/huang18d.html},
timestamp = {Fri, 02 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HuangKLC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Huntsman18,
author = {Steve Huntsman},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Topological Mixture Estimation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2093--2102},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/huntsman18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Huntsman18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HuoGYH18,
author = {Zhouyuan Huo and
Bin Gu and
Qian Yang and
Heng Huang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Decoupled Parallel Backpropagation with Convergence Guarantee},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2103--2111},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/huo18a.html},
timestamp = {Thu, 11 Jul 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/HuoGYH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/IcarteKVM18,
author = {Rodrigo Toro Icarte and
Toryn Q. Klassen and
Richard Anthony Valenzano and
Sheila A. McIlraith},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Using Reward Machines for High-Level Task Specification and Decomposition
in Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2112--2121},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/icarte18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/IcarteKVM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/IglZLWW18,
author = {Maximilian Igl and
Luisa M. Zintgraf and
Tuan Anh Le and
Frank Wood and
Shimon Whiteson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Variational Reinforcement Learning for POMDPs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2122--2131},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/igl18a.html},
timestamp = {Tue, 20 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/IglZLWW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/IlseTW18,
author = {Maximilian Ilse and
Jakub M. Tomczak and
Max Welling},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Attention-based Deep Multiple Instance Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2132--2141},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ilse18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/IlseTW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/IlyasEAL18,
author = {Andrew Ilyas and
Logan Engstrom and
Anish Athalye and
Jessy Lin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Black-box Adversarial Attacks with Limited Queries and Information},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2142--2151},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ilyas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/IlyasEAL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ImamuraSS18,
author = {Hideaki Imamura and
Issei Sato and
Masashi Sugiyama},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Analysis of Minimax Error Rate for Crowdsourcing and Its Application
to Worker Clustering Model},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2152--2161},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/imamura18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ImamuraSS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ImaniW18,
author = {Ehsan Imani and
Martha White},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improving Regression Performance with Distributional Losses},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2162--2171},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/imani18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ImaniW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/InouyeR18,
author = {David I. Inouye and
Pradeep Ravikumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Density Destructors},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2172--2180},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/inouye18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/InouyeR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ItoYF18,
author = {Shinji Ito and
Akihiro Yabe and
Ryohei Fujimaki},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Unbiased Objective Estimation in Predictive Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2181--2190},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ito18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ItoYF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/IvanovB18,
author = {Sergey Ivanov and
Evgeny Burnaev},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Anonymous Walk Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2191--2200},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ivanov18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/IvanovB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JaffeWCKN18,
author = {Ariel Jaffe and
Roi Weiss and
Shai Carmi and
Yuval Kluger and
Boaz Nadler},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Binary Latent Variable Models: {A} Tensor Eigenpair Approach},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2201--2210},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jaffe18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JaffeWCKN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JainJ18,
author = {Lalit Jain and
Kevin G. Jamieson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Firing Bandits: Optimizing Crowdfunding},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2211--2219},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jain18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JainJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JangKS18,
author = {Yunseok Jang and
Gunhee Kim and
Yale Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Video Prediction with Appearance and Motion Conditions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2230--2239},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jang18a.html},
timestamp = {Mon, 01 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JangKS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JankowiakO18,
author = {Martin Jankowiak and
Fritz Obermeyer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Pathwise Derivatives Beyond the Reparameterization Trick},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2240--2249},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jankowiak18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JankowiakO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JanzingS18,
author = {Dominik Janzing and
Bernhard Sch{\"{o}}lkopf},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Detecting non-causal artifacts in multivariate linear regression models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2250--2258},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/janzing18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JanzingS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JawanpuriaM18,
author = {Pratik Jawanpuria and
Bamdev Mishra},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Unified Framework for Structured Low-rank Matrix Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2259--2268},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jawanpuria18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JawanpuriaM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JeongS18,
author = {Yeonwoo Jeong and
Hyun Oh Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient end-to-end learning for quantizable representations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2269--2278},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jeong18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JeongS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JiaLQA18,
author = {Zhihao Jia and
Sina Lin and
Charles R. Qi and
Alex Aiken},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Exploring Hidden Dimensions in Parallelizing Convolutional Neural
Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2279--2288},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jia18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JiaLQA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JiangEL18,
author = {Daniel R. Jiang and
Emmanuel Ekwedike and
Han Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Feedback-Based Tree Search for Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2289--2298},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jiang18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JiangEL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JiangJK18,
author = {Heinrich Jiang and
Jennifer Jang and
Samory Kpotufe},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Quickshift++: Provably Good Initializations for Sample-Based Mean
Shift},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2299--2308},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jiang18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JiangJK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JiangZLLF18,
author = {Lu Jiang and
Zhengyuan Zhou and
Thomas Leung and
Li{-}Jia Li and
Li Fei{-}Fei},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
on Corrupted Labels},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2309--2318},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jiang18c.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JiangZLLF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JiaoV18,
author = {Yunlong Jiao and
Jean{-}Philippe Vert},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Weighted Kendall and High-order Kernels for Permutations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2319--2327},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jiao18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JiaoV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JinBJ18,
author = {Wengong Jin and
Regina Barzilay and
Tommi S. Jaakkola},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Junction Tree Variational Autoencoder for Molecular Graph Generation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2328--2337},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jin18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JinBJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JinKL18,
author = {Jiashun Jin and
Zheng Tracy Ke and
Shengming Luo},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Network Global Testing by Counting Graphlets},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2338--2346},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jin18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JinKL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JinKL18a,
author = {Peter H. Jin and
Kurt Keutzer and
Sergey Levine},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Regret Minimization for Partially Observable Deep Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2347--2356},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jin18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JinKL18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JinYXYJFY18,
author = {Xiaojie Jin and
Yingzhen Yang and
Ning Xu and
Jianchao Yang and
Nebojsa Jojic and
Jiashi Feng and
Shuicheng Yan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {WSNet: Compact and Efficient Networks Through Weight Sampling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2357--2366},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jin18d.html},
timestamp = {Mon, 09 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/JinYXYJFY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JohnH18,
author = {S. T. John and
James Hensman},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Large-Scale Cox Process Inference using Variational Fourier Features},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2367--2375},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/john18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JohnH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Johnson018,
author = {Rie Johnson and
Tong Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Composite Functional Gradient Learning of Generative Adversarial Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2376--2384},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/johnson18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Johnson018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/JoseCF18,
author = {Cijo Jose and
Moustapha Ciss{\'{e}} and
Fran{\c{c}}ois Fleuret},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Kronecker Recurrent Units},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2385--2394},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/jose18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/JoseCF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KaiserBRVPUS18,
author = {Lukasz Kaiser and
Samy Bengio and
Aurko Roy and
Ashish Vaswani and
Niki Parmar and
Jakob Uszkoreit and
Noam Shazeer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Decoding in Sequence Models Using Discrete Latent Variables},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2395--2404},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kaiser18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KaiserBRVPUS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KajiharaKYF18,
author = {Takafumi Kajihara and
Motonobu Kanagawa and
Keisuke Yamazaki and
Kenji Fukumizu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Kernel Recursive {ABC:} Point Estimation with Intractable Likelihood},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2405--2414},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kajihara18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KajiharaKYF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KalchbrennerESN18,
author = {Nal Kalchbrenner and
Erich Elsen and
Karen Simonyan and
Seb Noury and
Norman Casagrande and
Edward Lockhart and
Florian Stimberg and
A{\"{a}}ron van den Oord and
Sander Dieleman and
Koray Kavukcuoglu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient Neural Audio Synthesis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2415--2424},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kalchbrenner18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KalchbrennerESN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KalimerisSSW18,
author = {Dimitris Kalimeris and
Yaron Singer and
Karthik Subbian and
Udi Weinsberg},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Diffusion using Hyperparameters},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2425--2433},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kalimeris18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KalimerisSSW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KallummilK18,
author = {Sreejith Kallummil and
Sheetal Kalyani},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2434--2443},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kallummil18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KallummilK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KallusZ18,
author = {Nathan Kallus and
Angela Zhou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Residual Unfairness in Fair Machine Learning from Prejudiced Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2444--2453},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kallus18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KallusZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KalyanLKB18,
author = {Ashwin Kalyan and
Stefan Lee and
Anitha Kannan and
Dhruv Batra},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse
Annotations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2454--2463},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kalyan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KalyanLKB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KamnitsasCFWTRG18,
author = {Konstantinos Kamnitsas and
Daniel Coelho de Castro and
Lo{\"{\i}}c Le Folgoc and
Ian Walker and
Ryutaro Tanno and
Daniel Rueckert and
Ben Glocker and
Antonio Criminisi and
Aditya V. Nori},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Semi-Supervised Learning via Compact Latent Space Clustering},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2464--2473},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kamnitsas18a.html},
timestamp = {Tue, 06 Oct 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KamnitsasCFWTRG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KangJF18,
author = {Bingyi Kang and
Zequn Jie and
Jiashi Feng},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Policy Optimization with Demonstrations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2474--2483},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kang18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KangJF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KangP18,
author = {Keegan Kang and
Wong Wei Pin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improving Sign Random Projections With Additional Information},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2484--2492},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kang18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KangP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KangarshahiHSC18,
author = {Ehsan Asadi Kangarshahi and
Ya{-}Ping Hsieh and
Mehmet Fatih Sahin and
Volkan Cevher},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2493--2501},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kangarshahi18a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KangarshahiHSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KaplanisSC18,
author = {Christos Kaplanis and
Murray Shanahan and
Claudia Clopath},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Continual Reinforcement Learning with Complex Synapses},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2502--2511},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kaplanis18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KaplanisSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KarmonZG18,
author = {Danny Karmon and
Daniel Zoran and
Yoav Goldberg},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {LaVAN: Localized and Visible Adversarial Noise},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2512--2520},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/karmon18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KarmonZG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KasaiSM18,
author = {Hiroyuki Kasai and
Hiroyuki Sato and
Bamdev Mishra},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Riemannian Stochastic Recursive Gradient Algorithm with Retraction
and Vector Transport and Its Convergence Analysis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2521--2529},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kasai18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KasaiSM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KatharopoulosF18,
author = {Angelos Katharopoulos and
Fran{\c{c}}ois Fleuret},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Not All Samples Are Created Equal: Deep Learning with Importance Sampling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2530--2539},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/katharopoulos18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KatharopoulosF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Katz-SamuelsS18,
author = {Julian Katz{-}Samuels and
Clayton Scott},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Feasible Arm Identification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2540--2548},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/katz-samuels18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Katz-SamuelsS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KeZSLTBPCP18,
author = {Nan Rosemary Ke and
Konrad Zolna and
Alessandro Sordoni and
Zhouhan Lin and
Adam Trischler and
Yoshua Bengio and
Joelle Pineau and
Laurent Charlin and
Christopher J. Pal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Focused Hierarchical RNNs for Conditional Sequence Processing},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2559--2568},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ke18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KeZSLTBPCP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KearnsNRW18,
author = {Michael J. Kearns and
Seth Neel and
Aaron Roth and
Zhiwei Steven Wu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
Fairness},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2569--2577},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kearns18a.html},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KearnsNRW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KeivaniS18,
author = {Omid Keivani and
Kaushik Sinha},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improved nearest neighbor search using auxiliary information and priority
functions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2578--2586},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/keivani18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KeivaniS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KennamerKIS18,
author = {Noble Kennamer and
David Kirkby and
Alexander Ihler and
Francisco Javier Sanchez{-}Lopez},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {ContextNet: Deep learning for Star Galaxy Classification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2587--2595},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kennamer18a.html},
timestamp = {Mon, 05 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/KennamerKIS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KerdreuxPd18,
author = {Thomas Kerdreux and
Fabian Pedregosa and
Alexandre d'Aspremont},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Frank-Wolfe with Subsampling Oracle},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2596--2605},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kerdreux18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KerdreuxPd18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KhamaruW18,
author = {Koulik Khamaru and
Martin J. Wainwright},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Convergence guarantees for a class of non-convex and non-smooth optimization
problems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2606--2615},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/khamaru18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KhamaruW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KhanNTLGS18,
author = {Mohammad Emtiyaz Khan and
Didrik Nielsen and
Voot Tangkaratt and
Wu Lin and
Yarin Gal and
Akash Srivastava},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in
Adam},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2616--2625},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/khan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KhanNTLGS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KhrulkovO18,
author = {Valentin Khrulkov and
Ivan V. Oseledets},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Geometry Score: {A} Method For Comparing Generative Adversarial Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2626--2634},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/khrulkov18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KhrulkovO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KilbertusGKVGW18,
author = {Niki Kilbertus and
Adri{\`{a}} Gasc{\'{o}}n and
Matt J. Kusner and
Michael Veale and
Krishna P. Gummadi and
Adrian Weller},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Blind Justice: Fairness with Encrypted Sensitive Attributes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2635--2644},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kilbertus18a.html},
timestamp = {Sun, 04 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KilbertusGKVGW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Kim18,
author = {Minyoung Kim},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity
Modeling of Events Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2645--2653},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kim18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Kim18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KimM18,
author = {Hyunjik Kim and
Andriy Mnih},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Disentangling by Factorising},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2654--2663},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kim18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KimM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KimW18,
author = {Dongwoo Kim and
Christian J. Walder},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Self-Bounded Prediction Suffix Tree via Approximate String Matching},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2664--2672},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kim18c.html},
timestamp = {Fri, 10 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/KimW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KimWGCWVS18,
author = {Been Kim and
Martin Wattenberg and
Justin Gilmer and
Carrie J. Cai and
James Wexler and
Fernanda B. Vi{\'{e}}gas and
Rory Sayres},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Interpretability Beyond Feature Attribution: Quantitative Testing
with Concept Activation Vectors {(TCAV)}},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2673--2682},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kim18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KimWGCWVS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KimWMSR18,
author = {Yoon Kim and
Sam Wiseman and
Andrew C. Miller and
David A. Sontag and
Alexander M. Rush},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Semi-Amortized Variational Autoencoders},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2683--2692},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kim18e.html},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KimWMSR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KipfFWWZ18,
author = {Thomas N. Kipf and
Ethan Fetaya and
Kuan{-}Chieh Wang and
Max Welling and
Richard S. Zemel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Neural Relational Inference for Interacting Systems},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2693--2702},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kipf18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KipfFWWZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KleinbergLY18,
author = {Robert Kleinberg and
Yuanzhi Li and
Yang Yuan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Alternative View: When Does {SGD} Escape Local Minima?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2703--2712},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kleinberg18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KleinbergLY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KleindessnerA18,
author = {Matth{\"{a}}us Kleindessner and
Pranjal Awasthi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Crowdsourcing with Arbitrary Adversaries},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2713--2722},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kleindessner18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KleindessnerA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KnoblauchD18,
author = {Jeremias Knoblauch and
Theodoros Damoulas},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Spatio-temporal Bayesian On-line Changepoint Detection with Model
Selection},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2723--2732},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/knoblauch18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KnoblauchD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KolarijaniEK18,
author = {Arman Sharifi Kolarijani and
Peyman Mohajerin Esfahani and
Tam{\'{a}}s Keviczky},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Gradient-Based Methods with Exponential Rate: {A} Hybrid Control
Framework},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2733--2741},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kolarijani18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KolarijaniEK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KomiyamaTHS18,
author = {Junpei Komiyama and
Akiko Takeda and
Junya Honda and
Hajime Shimao},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Nonconvex Optimization for Regression with Fairness Constraints},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2742--2751},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/komiyama18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KomiyamaTHS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KondorT18,
author = {Risi Kondor and
Shubhendu Trivedi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Generalization of Equivariance and Convolution in Neural Networks
to the Action of Compact Groups},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2752--2760},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kondor18a.html},
timestamp = {Mon, 14 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/KondorT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Koriche18,
author = {Fr{\'{e}}d{\'{e}}ric Koriche},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Compiling Combinatorial Prediction Games},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2761--2770},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/koriche18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Koriche18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KrauseK0R18,
author = {Ben Krause and
Emmanuel Kahembwe and
Iain Murray and
Steve Renals},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dynamic Evaluation of Neural Sequence Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2771--2780},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/krause18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KrauseK0R18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KrishnamurthyWS18,
author = {Akshay Krishnamurthy and
Zhiwei Steven Wu and
Vasilis Syrgkanis},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Semiparametric Contextual Bandits},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2781--2790},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/krishnamurthy18a.html},
timestamp = {Thu, 23 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KrishnamurthyWS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KuhnleSCT18,
author = {Alan Kuhnle and
J. David Smith and
Victoria G. Crawford and
My T. Thai},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Maximization of Non-Submodular, Monotonic Functions on the Integer
Lattice},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2791--2800},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kuhnle18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KuhnleSCT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KuleshovFE18,
author = {Volodymyr Kuleshov and
Nathan Fenner and
Stefano Ermon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Accurate Uncertainties for Deep Learning Using Calibrated Regression},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2801--2809},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kuleshov18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KuleshovFE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KumarSJ18,
author = {Aviral Kumar and
Sunita Sarawagi and
Ujjwal Jain},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Trainable Calibration Measures For Neural Networks From Kernel Mean
Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2810--2819},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kumar18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KumarSJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KuzborskijL18,
author = {Ilja Kuzborskij and
Christoph H. Lampert},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Data-Dependent Stability of Stochastic Gradient Descent},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2820--2829},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kuzborskij18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KuzborskijL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LaberMP18,
author = {Eduardo Sany Laber and
Marco Molinaro and
Felipe de A. Mello Pereira},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Binary Partitions with Approximate Minimum Impurity},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2860--2868},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/laber18a.html},
timestamp = {Sat, 05 Mar 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LaberMP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LacroixUO18,
author = {Timoth{\'{e}}e Lacroix and
Nicolas Usunier and
Guillaume Obozinski},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Canonical Tensor Decomposition for Knowledge Base Completion},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2869--2878},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lacroix18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LacroixUO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LakeB18,
author = {Brenden M. Lake and
Marco Baroni},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Generalization without Systematicity: On the Compositional Skills
of Sequence-to-Sequence Recurrent Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2879--2888},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lake18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LakeB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LanCS18,
author = {Andrew S. Lan and
Mung Chiang and
Christoph Studer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Estimation and Analysis Framework for the Rasch Model},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2889--2897},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LanCS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LangeKA18,
author = {Jan{-}Hendrik Lange and
Andreas Karrenbauer and
Bjoern Andres},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Partial Optimality and Fast Lower Bounds for Weighted Correlation
Clustering},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2898--2907},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lange18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LangeKA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LaurentB18,
author = {Thomas Laurent and
James von Brecht},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2908--2913},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/laurent18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LaurentB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LaurentB18a,
author = {Thomas Laurent and
James von Brecht},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Multilinear Structure of ReLU Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2914--2922},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/laurent18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LaurentB18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LeeC18,
author = {Yoonho Lee and
Seungjin Choi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2933--2942},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lee18a.html},
timestamp = {Wed, 29 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LeeC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LeeKCL18,
author = {Kyowoon Lee and
Sol{-}A. Kim and
Jaesik Choi and
Seong{-}Whan Lee},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Reinforcement Learning in Continuous Action Spaces: a Case Study
in the Game of Simulated Curling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2943--2952},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lee18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LeeKCL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LeePCXS18,
author = {Lisa Lee and
Emilio Parisotto and
Devendra Singh Chaplot and
Eric P. Xing and
Ruslan Salakhutdinov},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gated Path Planning Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2953--2961},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lee18c.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LeePCXS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LeeYH18,
author = {Haebeom Lee and
Eunho Yang and
Sung Ju Hwang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Asymmetric Multi-task Feature Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2962--2970},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lee18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LeeYH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LehtinenMHLKAA18,
author = {Jaakko Lehtinen and
Jacob Munkberg and
Jon Hasselgren and
Samuli Laine and
Tero Karras and
Miika Aittala and
Timo Aila},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Noise2Noise: Learning Image Restoration without Clean Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2971--2980},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lehtinen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LehtinenMHLKAA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LevinRMP18,
author = {Keith D. Levin and
Farbod Roosta{-}Khorasani and
Michael W. Mahoney and
Carey E. Priebe},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Out-of-sample extension of graph adjacency spectral embedding},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2981--2990},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/levin18a.html},
timestamp = {Mon, 31 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LevinRMP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiGD18,
author = {Xuhong Li and
Yves Grandvalet and
Franck Davoine},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Explicit Inductive Bias for Transfer Learning with Convolutional Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2830--2839},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18a.html},
timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LiGD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiH18,
author = {Qianxiao Li and
Shuji Hao},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight
Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2991--3000},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiHT0QWL18,
author = {Zhuohan Li and
Di He and
Fei Tian and
Wei Chen and
Tao Qin and
Liwei Wang and
Tie{-}Yan Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Towards Binary-Valued Gates for Robust {LSTM} Training},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3001--3010},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18c.html},
timestamp = {Tue, 20 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LiHT0QWL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiM18,
author = {Pan Li and
Olgica Milenkovic},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral
Clustering},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3020--3029},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18e.html},
timestamp = {Sun, 06 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiM18a,
author = {Yingzhen Li and
Stephan Mandt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Disentangled Sequential Autoencoder},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5656--5665},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yingzhen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiM18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiS18,
author = {Yuanzhi Li and
Yoram Singer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Well-Tempered Lasso},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3030--3038},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18f.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiWZ18,
author = {Xudong Li and
Mengdi Wang and
Anru Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Estimation of Markov Chain via Rank-constrained Likelihood},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3039--3048},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/li18g.html},
timestamp = {Tue, 18 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiWZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LianZZL18,
author = {Xiangru Lian and
Wei Zhang and
Ce Zhang and
Ji Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Asynchronous Decentralized Parallel Stochastic Gradient Descent},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3049--3058},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lian18a.html},
timestamp = {Tue, 12 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LianZZL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiangLNMFGGJS18,
author = {Eric Liang and
Richard Liaw and
Robert Nishihara and
Philipp Moritz and
Roy Fox and
Ken Goldberg and
Joseph Gonzalez and
Michael I. Jordan and
Ion Stoica},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {RLlib: Abstractions for Distributed Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3059--3068},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liang18b.html},
timestamp = {Thu, 30 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiangLNMFGGJS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiangSLS18,
author = {Shiyu Liang and
Ruoyu Sun and
Yixuan Li and
Rayadurgam Srikant},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Understanding the Loss Surface of Neural Networks for Binary Classification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2840--2849},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liang18a.html},
timestamp = {Fri, 18 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LiangSLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiaoC18,
author = {Zhenyu Liao and
Romain Couillet},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Spectrum of Random Features Maps of High Dimensional Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3069--3077},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liao18a.html},
timestamp = {Wed, 27 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiaoC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiaoC18a,
author = {Zhenyu Liao and
Romain Couillet},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Dynamics of Learning: {A} Random Matrix Approach},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3078--3087},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liao18b.html},
timestamp = {Wed, 27 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiaoC18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiaoXFZYPUZ18,
author = {Renjie Liao and
Yuwen Xiong and
Ethan Fetaya and
Lisa Zhang and
KiJung Yoon and
Xaq Pitkow and
Raquel Urtasun and
Richard S. Zemel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Reviving and Improving Recurrent Back-Propagation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3088--3097},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liao18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiaoXFZYPUZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LinC18,
author = {Junhong Lin and
Volkan Cevher},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3098--3107},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lin18a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LinC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LinC18a,
author = {Junhong Lin and
Volkan Cevher},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Optimal Rates of Sketched-regularized Algorithms for Least-Squares
Regression over Hilbert Spaces},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3108--3117},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lin18b.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LinC18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LinMY18,
author = {Qihang Lin and
Runchao Ma and
Tianbao Yang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Level-Set Methods for Finite-Sum Constrained Convex Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3118--3127},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lin18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LinMY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiptonWS18,
author = {Zachary C. Lipton and
Yu{-}Xiang Wang and
Alexander J. Smola},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Detecting and Correcting for Label Shift with Black Box Predictors},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3128--3136},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lipton18a.html},
timestamp = {Wed, 12 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiptonWS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuCWO18,
author = {Haitao Liu and
Jianfei Cai and
Yi Wang and
Yew{-}Soon Ong},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Generalized Robust Bayesian Committee Machine for Large-scale Gaussian
Process Regression},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3137--3146},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18a.html},
timestamp = {Thu, 02 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LiuCWO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuDLLRS18,
author = {Weiyang Liu and
Bo Dai and
Xingguo Li and
Zhen Liu and
James M. Rehg and
Le Song},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Towards Black-box Iterative Machine Teaching},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3147--3155},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18b.html},
timestamp = {Thu, 29 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiuDLLRS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuDRSH18,
author = {Lydia T. Liu and
Sarah Dean and
Esther Rolf and
Max Simchowitz and
Moritz Hardt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Delayed Impact of Fair Machine Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3156--3164},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiuDRSH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuGDFH18,
author = {Si Liu and
Risheek Garrepalli and
Thomas G. Dietterich and
Alan Fern and
Dan Hendrycks},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Open Category Detection with {PAC} Guarantees},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3175--3184},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiuGDFH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuGS18,
author = {Huidong Liu and
Xianfeng Gu and
Dimitris Samaras},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Two-Step Computation of the Exact {GAN} Wasserstein Distance},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3165--3174},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiuGS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuH18,
author = {Xuanqing Liu and
Cho{-}Jui Hsieh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Variance Reduction Method with Stochastic Batch Size},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3185--3194},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18f.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiuH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiuZCWY18,
author = {Mingrui Liu and
Xiaoxuan Zhang and
Zaiyi Chen and
Xiaoyu Wang and
Tianbao Yang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Stochastic {AUC} Maximization with O(1/n)-Convergence Rate},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3195--3203},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/liu18g.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LiuZCWY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LocatelloRKRSSJ18,
author = {Francesco Locatello and
Anant Raj and
Sai Praneeth Karimireddy and
Gunnar R{\"{a}}tsch and
Bernhard Sch{\"{o}}lkopf and
Sebastian U. Stich and
Martin Jaggi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On Matching Pursuit and Coordinate Descent},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3204--3213},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/locatello18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LocatelloRKRSSJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LongLMD18,
author = {Zichao Long and
Yiping Lu and
Xianzhong Ma and
Bin Dong},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {PDE-Net: Learning PDEs from Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3214--3222},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/long18a.html},
timestamp = {Wed, 03 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LongLMD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LopesWM18,
author = {Miles E. Lopes and
Shusen Wang and
Michael W. Mahoney},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3223--3232},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lopes18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LopesWM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LorenziF18,
author = {Marco Lorenzi and
Maurizio Filippone},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Constraining the Dynamics of Deep Probabilistic Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3233--3242},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lorenzi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LorenziF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LoukasV18,
author = {Andreas Loukas and
Pierre Vandergheynst},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Spectrally Approximating Large Graphs with Smaller Graphs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3243--3252},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/loukas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LoukasV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LuCLLW18,
author = {Hao Lu and
Yuan Cao and
Junwei Lu and
Han Liu and
Zhaoran Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial
Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3253--3262},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lu18a.html},
timestamp = {Wed, 27 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LuCLLW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LuFM18,
author = {Haihao Lu and
Robert M. Freund and
Vahab S. Mirrokni},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Accelerating Greedy Coordinate Descent Methods},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3263--3272},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lu18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LuFM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LuGDL18,
author = {Xiaoyu Lu and
Javier Gonz{\'{a}}lez and
Zhenwen Dai and
Neil D. Lawrence},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Structured Variationally Auto-encoded Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3273--3281},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lu18c.html},
timestamp = {Tue, 30 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LuGDL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LuZLD18,
author = {Yiping Lu and
Aoxiao Zhong and
Quanzheng Li and
Bin Dong},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Beyond Finite Layer Neural Networks: Bridging Deep Architectures and
Numerical Differential Equations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3282--3291},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lu18d.html},
timestamp = {Wed, 03 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LuZLD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LucasTOV18,
author = {Thomas Lucas and
Corentin Tallec and
Yann Ollivier and
Jakob Verbeek},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Mixed batches and symmetric discriminators for {GAN} training},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2850--2859},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lucas18a.html},
timestamp = {Tue, 08 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LucasTOV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LuoSZLZW18,
author = {Wenhan Luo and
Peng Sun and
Fangwei Zhong and
Wei Liu and
Tong Zhang and
Yizhou Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {End-to-end Active Object Tracking via Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3292--3301},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/luo18a.html},
timestamp = {Wed, 19 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/LuoSZLZW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LykourisV18,
author = {Thodoris Lykouris and
Sergei Vassilvitskii},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Competitive Caching with Machine Learned Advice},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3302--3311},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lykouris18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/LykourisV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Lyu0YZ018,
author = {Wenlong Lyu and
Fan Yang and
Changhao Yan and
Dian Zhou and
Xuan Zeng},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Batch Bayesian Optimization via Multi-objective Acquisition Ensemble
for Automated Analog Circuit Design},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3312--3320},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/lyu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Lyu0YZ018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MaBB18,
author = {Siyuan Ma and
Raef Bassily and
Mikhail Belkin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Power of Interpolation: Understanding the Effectiveness of {SGD}
in Modern Over-parametrized Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3331--3340},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ma18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MaBB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MaOSS18,
author = {Yao Ma and
Alexander Olshevsky and
Csaba Szepesv{\'{a}}ri and
Venkatesh Saligrama},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced
Aggregation of Sparsely Interacting Workers},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3341--3350},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ma18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MaOSS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MaWCC18,
author = {Cong Ma and
Kaizheng Wang and
Yuejie Chi and
Yuxin Chen},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Implicit Regularization in Nonconvex Statistical Estimation: Gradient
Descent Converges Linearly for Phase Retrieval and Matrix Completion},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3351--3360},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ma18c.html},
timestamp = {Sun, 07 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MaWCC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MaWHZEXWB18,
author = {Xingjun Ma and
Yisen Wang and
Michael E. Houle and
Shuo Zhou and
Sarah M. Erfani and
Shu{-}Tao Xia and
Sudanthi N. R. Wijewickrema and
James Bailey},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dimensionality-Driven Learning with Noisy Labels},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3361--3370},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ma18d.html},
timestamp = {Mon, 09 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/MaWHZEXWB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MaXM18,
author = {Junjie Ma and
Ji Xu and
Arian Maleki},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Approximate message passing for amplitude based optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3371--3380},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ma18e.html},
timestamp = {Thu, 23 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MaXM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MadrasCPZ18,
author = {David Madras and
Elliot Creager and
Toniann Pitassi and
Richard S. Zemel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Adversarially Fair and Transferable Representations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3381--3390},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/madras18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MadrasCPZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MalikPFHRD18,
author = {Dhruv Malik and
Malayandi Palaniappan and
Jaime F. Fisac and
Dylan Hadfield{-}Menell and
Stuart Russell and
Anca D. Dragan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement
Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3391--3399},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/malik18a.html},
timestamp = {Wed, 20 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MalikPFHRD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MarinoYM18,
author = {Joseph Marino and
Yisong Yue and
Stephan Mandt},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Iterative Amortized Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3400--3409},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/marino18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MarinoYM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MarinovMA18,
author = {Teodor Vanislavov Marinov and
Poorya Mianjy and
Raman Arora},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Streaming Principal Component Analysis in Noisy Settings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3410--3419},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/marinov18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MarinovMA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MartinLV18,
author = {Lionel Martin and
Andreas Loukas and
Pierre Vandergheynst},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Approximate Spectral Clustering for Dynamic Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3420--3429},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/martin18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MartinLV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MassiasSG18,
author = {Mathurin Massias and
Joseph Salmon and
Alexandre Gramfort},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Celer: a Fast Solver for the Lasso with Dual Extrapolation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3321--3330},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/massias18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MassiasSG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MazharRFH18,
author = {Othmane Mazhar and
Cristian R. Rojas and
Carlo Fischione and
Mohammad Reza Hesamzadeh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bayesian Model Selection for Change Point Detection and Clustering},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3430--3439},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mazhar18a.html},
timestamp = {Mon, 06 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/MazharRFH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/McLeodRO18,
author = {Mark McLeod and
Stephen J. Roberts and
Michael A. Osborne},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Optimization, Fast and Slow: Optimally Switching between Local and
Bayesian Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3440--3449},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mcleod18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/McLeodRO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MehrabiTY18,
author = {Mohammad Mehrabi and
Aslan Tchamkerten and
Mansoor I. Yousefi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bounds on the Approximation Power of Feedforward Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3450--3458},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mehrabi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MehrabiTY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MenschB18,
author = {Arthur Mensch and
Mathieu Blondel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentiable Dynamic Programming for Structured Prediction and Attention},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3459--3468},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mensch18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MenschB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Mesaoudi-PaulHB18,
author = {Adil El Mesaoudi{-}Paul and
Eyke H{\"{u}}llermeier and
R{\'{o}}bert Busa{-}Fekete},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Ranking Distributions based on Noisy Sorting},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3469--3477},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mesaoudi-paul18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Mesaoudi-PaulHB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MeschederGN18,
author = {Lars M. Mescheder and
Andreas Geiger and
Sebastian Nowozin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Which Training Methods for GANs do actually Converge?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3478--3487},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mescheder18a.html},
timestamp = {Fri, 20 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/MeschederGN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MetelliMR18,
author = {Alberto Maria Metelli and
Mirco Mutti and
Marcello Restelli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Configurable Markov Decision Processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3488--3497},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/metelli18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MetelliMR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MetzlerSVB18,
author = {Christopher A. Metzler and
Philip Schniter and
Ashok Veeraraghavan and
Richard G. Baraniuk},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {prDeep: Robust Phase Retrieval with a Flexible Deep Network},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3498--3507},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/metzler18a.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/MetzlerSVB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MeyersonM18,
author = {Elliot Meyerson and
Risto Miikkulainen},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Pseudo-task Augmentation: From Deep Multitask Learning to Intratask
Sharing-and Back},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3508--3517},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/meyerson18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MeyersonM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MhamdiGR18,
author = {El Mahdi El Mhamdi and
Rachid Guerraoui and
S{\'{e}}bastien Rouault},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Hidden Vulnerability of Distributed Learning in Byzantium},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3518--3527},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mhamdi18a.html},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/MhamdiGR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MianjyA18,
author = {Poorya Mianjy and
Raman Arora},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic {PCA} with {\unicode{120001}}\({}_{\mbox{2}}\) and {\unicode{120001}}\({}_{\mbox{1}}\)
Regularization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3528--3536},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mianjy18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MianjyA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MianjyAV18,
author = {Poorya Mianjy and
Raman Arora and
Ren{\'{e}} Vidal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Implicit Bias of Dropout},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3537--3545},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mianjy18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MianjyAV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MichaelisBE18,
author = {Claudio Michaelis and
Matthias Bethge and
Alexander S. Ecker},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {One-Shot Segmentation in Clutter},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3546--3555},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/michaelis18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MichaelisBE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MiconiSC18,
author = {Thomas Miconi and
Kenneth O. Stanley and
Jeff Clune},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentiable plasticity: training plastic neural networks with backpropagation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3556--3565},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/miconi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MiconiSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MirmanDDGV18,
author = {Matthew Mirman and
Dimitar K. Dimitrov and
Pavle Djordjevic and
Timon Gehr and
Martin T. Vechev},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Training Neural Machines with Trace-Based Supervision},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3566--3574},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mirman18a.html},
timestamp = {Wed, 01 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MirmanDDGV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MirmanGV18,
author = {Matthew Mirman and
Timon Gehr and
Martin T. Vechev},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentiable Abstract Interpretation for Provably Robust Neural
Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3575--3583},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mirman18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MirmanGV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MishchenkoIMA18,
author = {Konstantin Mishchenko and
Franck Iutzeler and
J{\'{e}}r{\^{o}}me Malick and
Massih{-}Reza Amini},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3584--3592},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mishchenko18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MishchenkoIMA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Mitrovic0ZK18,
author = {Marko Mitrovic and
Ehsan Kazemi and
Morteza Zadimoghaddam and
Amin Karbasi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Data Summarization at Scale: {A} Two-Stage Submodular Approach},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3593--3602},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mitrovic18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Mitrovic0ZK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Moens18,
author = {Vincent Moens},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Hierarchical Adaptive Forgetting Variational Filter},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3603--3612},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/moens18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Moens18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MokhtariHK18,
author = {Aryan Mokhtari and
Hamed Hassani and
Amin Karbasi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Decentralized Submodular Maximization: Bridging Discrete and Continuous
Settings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3613--3622},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mokhtari18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MokhtariHK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MoreauOV18,
author = {Thomas Moreau and
Laurent Oudre and
Nicolas Vayatis},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{DICOD:} Distributed Convolutional Coordinate Descent for Convolutional
Sparse Coding},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3623--3631},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/moreau18a.html},
timestamp = {Wed, 14 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/MoreauOV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MorvanV18,
author = {Marine Le Morvan and
Jean{-}Philippe Vert},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {WHInter: {A} Working set algorithm for High-dimensional sparse second
order Interaction models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3632--3641},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/morvan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MorvanV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MouZGW18,
author = {Wenlong Mou and
Yuchen Zhou and
Jun Gao and
Liwei Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dropout Training, Data-dependent Regularization, and Generalization
Bounds},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3642--3650},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mou18a.html},
timestamp = {Tue, 13 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MouZGW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MullerMI18,
author = {Lorenz K. M{\"{u}}ller and
Julien N. P. Martel and
Giacomo Indiveri},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Kernelized Synaptic Weight Matrices},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3651--3660},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/muller18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MullerMI18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MunkhdalaiYMT18,
author = {Tsendsuren Munkhdalai and
Xingdi Yuan and
Soroush Mehri and
Adam Trischler},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Rapid Adaptation with Conditionally Shifted Neurons},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3661--3670},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/munkhdalai18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MunkhdalaiYMT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MussmannL18,
author = {Stephen Mussmann and
Percy Liang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On the Relationship between Data Efficiency and Error for Uncertainty
Sampling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3671--3679},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/mussmann18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/MussmannL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NachmaniPTW18,
author = {Eliya Nachmani and
Adam Polyak and
Yaniv Taigman and
Lior Wolf},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fitting New Speakers Based on a Short Untranscribed Sample},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3680--3688},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nachmani18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NachmaniPTW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Nachum0TS18,
author = {Ofir Nachum and
Mohammad Norouzi and
George Tucker and
Dale Schuurmans},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Smoothed Action Value Functions for Learning Gaussian Policies},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3689--3697},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nachum18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Nachum0TS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NarayanamurthyV18,
author = {Praneeth Narayanamurthy and
Namrata Vaswani},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Nearly Optimal Robust Subspace Tracking},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3698--3706},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/narayanamurthy18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NarayanamurthyV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NatoleYL18,
author = {Michael Natole and
Yiming Ying and
Siwei Lyu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Proximal Algorithms for {AUC} Maximization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3707--3716},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/natole18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NatoleYL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NeelR18,
author = {Seth Neel and
Aaron Roth},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Mitigating Bias in Adaptive Data Gathering via Differential Privacy},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3717--3726},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/neel18a.html},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NeelR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Nguyen018,
author = {Quynh Nguyen and
Matthias Hein},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Optimization Landscape and Expressivity of Deep CNNs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3727--3736},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nguyen18a.html},
timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Nguyen018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NguyenM018,
author = {Quynh Nguyen and
Mahesh Chandra Mukkamala and
Matthias Hein},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Neural Networks Should Be Wide Enough to Learn Disconnected Decision
Regions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3737--3746},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nguyen18b.html},
timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NguyenM018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NguyenNDRST18,
author = {Lam M. Nguyen and
Phuong Ha Nguyen and
Marten van Dijk and
Peter Richt{\'{a}}rik and
Katya Scheinberg and
Martin Tak{\'{a}}c},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{SGD} and Hogwild! Convergence Without the Bounded Gradients Assumption},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3747--3755},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nguyen18c.html},
timestamp = {Wed, 11 Jan 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/NguyenNDRST18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NguyenRF18,
author = {Phuc Xuan Nguyen and
Deva Ramanan and
Charless C. Fowlkes},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Active Testing: An Efficient and Robust Framework for Estimating Accuracy},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3756--3765},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nguyen18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NguyenRF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NguyenSH18,
author = {Thanh Van Nguyen and
Akshay Soni and
Chinmay Hegde},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On Learning Sparsely Used Dictionaries from Incomplete Samples},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3766--3775},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nguyen18e.html},
timestamp = {Thu, 01 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/NguyenSH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NickelK18,
author = {Maximilian Nickel and
Douwe Kiela},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic
Geometry},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3776--3785},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nickel18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NickelK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NickischSG18,
author = {Hannes Nickisch and
Arno Solin and
Alexander Grigorevskiy},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {State Space Gaussian Processes with Non-Gaussian Likelihood},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3786--3795},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nickisch18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NickischSG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NiculaeMBC18,
author = {Vlad Niculae and
Andr{\'{e}} F. T. Martins and
Mathieu Blondel and
Claire Cardie},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {SparseMAP: Differentiable Sparse Structured Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3796--3805},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/niculae18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NiculaeMBC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NieZP18,
author = {Weili Nie and
Yang Zhang and
Ankit Patel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based
Visualizations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3806--3815},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nie18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NieZP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/NitandaS18,
author = {Atsushi Nitanda and
Taiji Suzuki},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Functional Gradient Boosting based on Residual Network Perception},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3816--3825},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/nitanda18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/NitandaS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Norouzi-FardTMZ18,
author = {Ashkan Norouzi{-}Fard and
Jakub Tarnawski and
Slobodan Mitrovic and
Amir Zandieh and
Aidasadat Mousavifar and
Ola Svensson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Beyond 1/2-Approximation for Submodular Maximization on Massive Data
Streams},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3826--3835},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/norouzi-fard18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Norouzi-FardTMZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ODonoghueOMM18,
author = {Brendan O'Donoghue and
Ian Osband and
R{\'{e}}mi Munos and
Volodymyr Mnih},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Uncertainty Bellman Equation and Exploration},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3836--3845},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/o-donoghue18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ODonoghueOMM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OdenaBOBORG18,
author = {Augustus Odena and
Jacob Buckman and
Catherine Olsson and
Tom B. Brown and
Christopher Olah and
Colin Raffel and
Ian J. Goodfellow},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Is Generator Conditioning Causally Related to {GAN} Performance?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3846--3855},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/odena18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OdenaBOBORG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OglicG18,
author = {Dino Oglic and
Thomas G{\"{a}}rtner},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning in Reproducing Kernel Krein Spaces},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3856--3864},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/oglic18a.html},
timestamp = {Thu, 05 Dec 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/OglicG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OhGSL18,
author = {Junhyuk Oh and
Yijie Guo and
Satinder Singh and
Honglak Lee},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Self-Imitation Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3875--3884},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/oh18b.html},
timestamp = {Tue, 19 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OhGSL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OhGW18,
author = {ChangYong Oh and
Efstratios Gavves and
Max Welling},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{BOCK} : Bayesian Optimization with Cylindrical Kernels},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3865--3874},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/oh18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OhGW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OkunoHS18,
author = {Akifumi Okuno and
Tetsuya Hada and
Hidetoshi Shimodaira},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A probabilistic framework for multi-view feature learning with many-to-many
associations via neural networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3885--3894},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/okuno18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OkunoHS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OlivaDZPSXS18,
author = {Junier B. Oliva and
Avinava Dubey and
Manzil Zaheer and
Barnab{\'{a}}s P{\'{o}}czos and
Ruslan Salakhutdinov and
Eric P. Xing and
Jeff Schneider},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Transformation Autoregressive Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3895--3904},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/oliva18a.html},
timestamp = {Tue, 17 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/OlivaDZPSXS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OlofssonDM18,
author = {Simon Olofsson and
Marc Peter Deisenroth and
Ruth Misener},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Design of Experiments for Model Discrimination Hybridising Analytical
and Data-Driven Approaches},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3905--3914},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/olofsson18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OlofssonDM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OordLBSVKDLCSCG18,
author = {A{\"{a}}ron van den Oord and
Yazhe Li and
Igor Babuschkin and
Karen Simonyan and
Oriol Vinyals and
Koray Kavukcuoglu and
George van den Driessche and
Edward Lockhart and
Luis C. Cobo and
Florian Stimberg and
Norman Casagrande and
Dominik Grewe and
Seb Noury and
Sander Dieleman and
Erich Elsen and
Nal Kalchbrenner and
Heiga Zen and
Alex Graves and
Helen King and
Tom Walters and
Dan Belov and
Demis Hassabis},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Parallel WaveNet: Fast High-Fidelity Speech Synthesis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3915--3923},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/oord18a.html},
timestamp = {Mon, 27 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OordLBSVKDLCSCG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OsamaZS18,
author = {Muhammad Osama and
Dave Zachariah and
Thomas B. Sch{\"{o}}n},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Localized Spatio-Temporal Models From Streaming Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3924--3932},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/osama18a.html},
timestamp = {Tue, 22 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OsamaZS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OstrovskiDM18,
author = {Georg Ostrovski and
Will Dabney and
R{\'{e}}mi Munos},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Autoregressive Quantile Networks for Generative Modeling},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3933--3942},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ostrovski18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OstrovskiDM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OstrovskiiH18,
author = {Dmitrii Ostrovskii and
Za{\"{\i}}d Harchaoui},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient First-Order Algorithms for Adaptive Signal Denoising},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3943--3952},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ostrovskii18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OstrovskiiH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/OttAGR18,
author = {Myle Ott and
Michael Auli and
David Grangier and
Marc'Aurelio Ranzato},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Analyzing Uncertainty in Neural Machine Translation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3953--3962},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ott18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/OttAGR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Oymak18,
author = {Samet Oymak},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Compact Neural Networks with Regularization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3963--3972},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/oymak18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Oymak18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PaassenGMH18,
author = {Benjamin Paa{\ss}en and
Claudio Gallicchio and
Alessio Micheli and
Barbara Hammer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Tree Edit Distance Learning via Adaptive Symbol Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3973--3982},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/paassen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PaassenGMH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PanFWNGN18,
author = {Yangchen Pan and
Amir{-}massoud Farahmand and
Martha White and
Saleh Nabi and
Piyush Grover and
Daniel Nikovski},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Reinforcement Learning with Function-Valued Action Spaces for Partial
Differential Equation Control},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3983--3992},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PanFWNGN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PanS18,
author = {Xingyuan Pan and
Vivek Srikumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Speed Up Structured Output Prediction},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3993--4002},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pan18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PanS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PanZD18,
author = {Xudong Pan and
Mi Zhang and
Daizong Ding},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Theoretical Analysis of Image-to-Image Translation with Adversarial
Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4003--4012},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pan18c.html},
timestamp = {Thu, 27 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PanZD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PangDZ18,
author = {Tianyu Pang and
Chao Du and
Jun Zhu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Max-Mahalanobis Linear Discriminant Analysis Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4013--4022},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pang18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PangDZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PapiniBCPR18,
author = {Matteo Papini and
Damiano Binaghi and
Giuseppe Canonaco and
Matteo Pirotta and
Marcello Restelli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Variance-Reduced Policy Gradient},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4023--4032},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/papini18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PapiniBCPR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ParascandoloKRS18,
author = {Giambattista Parascandolo and
Niki Kilbertus and
Mateo Rojas{-}Carulla and
Bernhard Sch{\"{o}}lkopf},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Independent Causal Mechanisms},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4033--4041},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/parascandolo18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ParascandoloKRS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PardoTLK18,
author = {Fabio Pardo and
Arash Tavakoli and
Vitaly Levdik and
Petar Kormushev},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Time Limits in Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4042--4051},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pardo18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PardoTLK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ParmarVUKSKT18,
author = {Niki Parmar and
Ashish Vaswani and
Jakob Uszkoreit and
Lukasz Kaiser and
Noam Shazeer and
Alexander Ku and
Dustin Tran},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Image Transformer},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4052--4061},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/parmar18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ParmarVUKSKT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ParmasR0D18,
author = {Paavo Parmas and
Carl Edward Rasmussen and
Jan Peters and
Kenji Doya},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{PIPPS:} Flexible Model-Based Policy Search Robust to the Curse of
Chaos},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4062--4071},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/parmas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ParmasR0D18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PearceBZN18,
author = {Tim Pearce and
Alexandra Brintrup and
Mohamed Zaki and
Andy Neely},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {High-Quality Prediction Intervals for Deep Learning: {A} Distribution-Free,
Ensembled Approach},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4072--4081},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pearce18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PearceBZN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PedregosaG18,
author = {Fabian Pedregosa and
Gauthier Gidel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adaptive Three Operator Splitting},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4082--4091},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pedregosa18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PedregosaG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PhamGZLD18,
author = {Hieu Pham and
Melody Y. Guan and
Barret Zoph and
Quoc V. Le and
Jeff Dean},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Efficient Neural Architecture Search via Parameter Sharing},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4092--4101},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pham18a.html},
timestamp = {Thu, 11 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/PhamGZLD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Pike-Burke0SG18,
author = {Ciara Pike{-}Burke and
Shipra Agrawal and
Csaba Szepesv{\'{a}}ri and
Steffen Gr{\"{u}}new{\"{a}}lder},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bandits with Delayed, Aggregated Anonymous Feedback},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4102--4110},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pike-burke18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Pike-Burke0SG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PleissGWW18,
author = {Geoff Pleiss and
Jacob R. Gardner and
Kilian Q. Weinberger and
Andrew Gordon Wilson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Constant-Time Predictive Distributions for Gaussian Processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4111--4120},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pleiss18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PleissGWW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PoonLS18,
author = {Clarice Poon and
Jingwei Liang and
Carola{-}Bibiane Schoenlieb},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Local Convergence Properties of SAGA/Prox-SVRG and Acceleration},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4121--4129},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/poon18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PoonLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Pouliot18,
author = {Guillaume Pouliot},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Equivalence of Multicategory {SVM} and Simplex Cone {SVM:} Fast Computations
and Statistical Theory},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4130--4137},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pouliot18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Pouliot18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PretoriusKK18,
author = {Arnu Pretorius and
Steve Kroon and
Herman Kamper},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Dynamics of Linear Denoising Autoencoders},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4138--4147},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pretorius18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PretoriusKK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PuDGWWZHC18,
author = {Yunchen Pu and
Shuyang Dai and
Zhe Gan and
Weiyao Wang and
Guoyin Wang and
Yizhe Zhang and
Ricardo Henao and
Lawrence Carin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {JointGAN: Multi-Domain Joint Distribution Learning with Generative
Adversarial Nets},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4148--4157},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pu18a.html},
timestamp = {Fri, 24 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/PuDGWWZHC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/PuMSK18,
author = {Yewen Pu and
Zachery Miranda and
Armando Solar{-}Lezama and
Leslie Pack Kaelbling},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Selecting Representative Examples for Program Synthesis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4158--4167},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/pu18b.html},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/PuMSK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/QiJZ18,
author = {Siyuan Qi and
Baoxiong Jia and
Song{-}Chun Zhu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Generalized Earley Parser: Bridging Symbolic Grammars and Sequence
Data for Future Prediction},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4168--4176},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/qi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/QiJZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Qiao18,
author = {Mingda Qiao},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Do Outliers Ruin Collaboration?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4177--4184},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/qiao18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Qiao18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/QiaoZ0WY18,
author = {Siyuan Qiao and
Zhishuai Zhang and
Wei Shen and
Bo Wang and
Alan L. Yuille},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradually Updated Neural Networks for Large-Scale Image Recognition},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4185--4194},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/qiao18b.html},
timestamp = {Fri, 10 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/QiaoZ0WY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/QiuCCS18,
author = {Qiang Qiu and
Xiuyuan Cheng and
A. Robert Calderbank and
Guillermo Sapiro},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {DCFNet: Deep Neural Network with Decomposed Convolutional Filters},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4195--4204},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/qiu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/QiuCCS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/QuLX18,
author = {Chao Qu and
Yan Li and
Huan Xu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Non-convex Conditional Gradient Sliding},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4205--4214},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/qu18a.html},
timestamp = {Tue, 12 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/QuLX18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RabinowitzPSZEB18,
author = {Neil C. Rabinowitz and
Frank Perbet and
H. Francis Song and
Chiyuan Zhang and
S. M. Ali Eslami and
Matthew M. Botvinick},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Machine Theory of Mind},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4215--4224},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rabinowitz18a.html},
timestamp = {Wed, 20 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RabinowitzPSZEB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RaeDDL18,
author = {Jack W. Rae and
Chris Dyer and
Peter Dayan and
Timothy P. Lillicrap},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Parametric Learning with Activation Memorization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4225--4234},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rae18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RaeDDL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RaghuIAKLK18,
author = {Maithra Raghu and
Alex Irpan and
Jacob Andreas and
Robert Kleinberg and
Quoc V. Le and
Jon M. Kleinberg},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4235--4243},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/raghu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RaghuIAKLK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RaguetL18,
author = {Hugo Raguet and
Lo{\"{\i}}c Landrieu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with
Graph Total Variation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4244--4253},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/raguet18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RaguetL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RaileanuDSF18,
author = {Roberta Raileanu and
Emily Denton and
Arthur Szlam and
Rob Fergus},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Modeling Others using Oneself in Multi-Agent Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4254--4263},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/raileanu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RaileanuDSF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RainforthCYW18,
author = {Tom Rainforth and
Robert Cornish and
Hongseok Yang and
Andrew Warrington},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {On Nesting Monte Carlo Estimators},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4264--4273},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rainforth18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RainforthCYW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RainforthKLMIWT18,
author = {Tom Rainforth and
Adam R. Kosiorek and
Tuan Anh Le and
Chris J. Maddison and
Maximilian Igl and
Frank Wood and
Yee Whye Teh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Tighter Variational Bounds are Not Necessarily Better},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4274--4282},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rainforth18b.html},
timestamp = {Tue, 20 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RainforthKLMIWT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RamdasZWJ18,
author = {Aaditya Ramdas and
Tijana Zrnic and
Martin J. Wainwright and
Michael I. Jordan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{SAFFRON:} an Adaptive Algorithm for Online Control of the False Discovery
Rate},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4283--4291},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ramdas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RamdasZWJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RashidSWFFW18,
author = {Tabish Rashid and
Mikayel Samvelyan and
Christian Schr{\"{o}}der de Witt and
Gregory Farquhar and
Jakob N. Foerster and
Shimon Whiteson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{QMIX:} Monotonic Value Function Factorisation for Deep Multi-Agent
Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4292--4301},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rashid18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RashidSWFFW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RavivTDT18,
author = {Netanel Raviv and
Rashish Tandon and
Alex Dimakis and
Itzhak Tamo},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Gradient Coding from Cyclic {MDS} Codes and Expander Graphs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4302--4310},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/raviv18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RavivTDT18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RavuriMRV18,
author = {Suman V. Ravuri and
Shakir Mohamed and
Mihaela Rosca and
Oriol Vinyals},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Implicit Generative Models with the Method of Learned Moments},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4311--4320},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ravuri18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RavuriMRV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ReagenGAMRWB18,
author = {Brandon Reagen and
Udit Gupta and
Bob Adolf and
Michael Mitzenmacher and
Alexander M. Rush and
Gu{-}Yeon Wei and
David Brooks},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Weightless: Lossy weight encoding for deep neural network compression},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4321--4330},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/reagan18a.html},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ReagenGAMRWB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RenZYU18,
author = {Mengye Ren and
Wenyuan Zeng and
Bin Yang and
Raquel Urtasun},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Reweight Examples for Robust Deep Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4331--4340},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ren18a.html},
timestamp = {Wed, 25 Nov 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/RenZYU18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RiedmillerHLNDW18,
author = {Martin A. Riedmiller and
Roland Hafner and
Thomas Lampe and
Michael Neunert and
Jonas Degrave and
Tom Van de Wiele and
Vlad Mnih and
Nicolas Heess and
Jost Tobias Springenberg},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning by Playing Solving Sparse Reward Tasks from Scratch},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4341--4350},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/riedmiller18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RiedmillerHLNDW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RitterWKJBPB18,
author = {Samuel Ritter and
Jane X. Wang and
Zeb Kurth{-}Nelson and
Siddhant M. Jayakumar and
Charles Blundell and
Razvan Pascanu and
Matthew M. Botvinick},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Been There, Done That: Meta-Learning with Episodic Recall},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4351--4360},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ritter18a.html},
timestamp = {Wed, 20 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RitterWKJBPB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RobertsERHE18,
author = {Adam Roberts and
Jesse H. Engel and
Colin Raffel and
Curtis Hawthorne and
Douglas Eck},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Hierarchical Latent Vector Model for Learning Long-Term Structure
in Music},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4361--4370},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/roberts18a.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RobertsERHE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RosenfeldBGS18,
author = {Nir Rosenfeld and
Eric Balkanski and
Amir Globerson and
Yaron Singer},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Optimize Combinatorial Functions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4371--4380},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rosenfeld18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RosenfeldBGS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RuMGO18,
author = {Bin Xin Ru and
Mark McLeod and
Diego Granziol and
Michael A. Osborne},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast Information-theoretic Bayesian Optimisation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4381--4389},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ru18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RuMGO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RuffGDSVBMK18,
author = {Lukas Ruff and
Nico G{\"{o}}rnitz and
Lucas Deecke and
Shoaib Ahmed Siddiqui and
Robert A. Vandermeulen and
Alexander Binder and
Emmanuel M{\"{u}}ller and
Marius Kloft},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep One-Class Classification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4390--4399},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ruff18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RuffGDSVBMK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RuizTDB18,
author = {Francisco J. R. Ruiz and
Michalis K. Titsias and
Adji B. Dieng and
David M. Blei},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Augment and Reduce: Stochastic Inference for Large Categorical Distributions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4400--4409},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ruiz18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RuizTDB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RukatHY18,
author = {Tammo Rukat and
Christopher C. Holmes and
Christopher Yau},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Probabilistic Boolean Tensor Decomposition},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4410--4419},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/rukat18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RukatHY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/RyderGMP18,
author = {Thomas Ryder and
Andrew Golightly and
A. Stephen McGough and
Dennis Prangle},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Black-Box Variational Inference for Stochastic Differential Equations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4420--4429},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ryder18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/RyderGMP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SaCW18,
author = {Christopher De Sa and
Vincent Chen and
Wing Wong},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Minibatch Gibbs Sampling on Large Graphical Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1173--1181},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/de-sa18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SaCW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SafranS18,
author = {Itay Safran and
Ohad Shamir},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Spurious Local Minima are Common in Two-Layer ReLU Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4430--4438},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/safran18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SafranS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SahooLM18,
author = {Subham S. Sahoo and
Christoph H. Lampert and
Georg Martius},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Equations for Extrapolation and Control},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4439--4447},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sahoo18a.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/SahooLM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SajjadiPMS18,
author = {Mehdi S. M. Sajjadi and
Giambattista Parascandolo and
Arash Mehrjou and
Bernhard Sch{\"{o}}lkopf},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Tempered Adversarial Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4448--4456},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sajjadi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SajjadiPMS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SalaSGR18,
author = {Frederic Sala and
Christopher De Sa and
Albert Gu and
Christopher R{\'{e}}},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Representation Tradeoffs for Hyperbolic Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4457--4466},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sala18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SalaSGR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Sanchez-Gonzalez18,
author = {Alvaro Sanchez{-}Gonzalez and
Nicolas Heess and
Jost Tobias Springenberg and
Josh Merel and
Martin A. Riedmiller and
Raia Hadsell and
Peter W. Battaglia},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Graph Networks as Learnable Physics Engines for Inference and Control},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4467--4476},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sanchez-gonzalez18a.html},
timestamp = {Wed, 24 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Sanchez-Gonzalez18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SantoroHBML18,
author = {Adam Santoro and
Felix Hill and
David G. T. Barrett and
Ari S. Morcos and
Timothy P. Lillicrap},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Measuring abstract reasoning in neural networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4477--4486},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/santoro18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SantoroHBML18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SanturkarSM18,
author = {Shibani Santurkar and
Ludwig Schmidt and
Aleksander Madry},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Classification-Based Study of Covariate Shift in {GAN} Distributions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4487--4496},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/santurkar18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SanturkarSM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SanyalKGK18,
author = {Amartya Sanyal and
Matt J. Kusner and
Adri{\`{a}} Gasc{\'{o}}n and
Varun Kanade},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{TAPAS:} Tricks to Accelerate (encrypted) Prediction As a Service},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4497--4506},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sanyal18a.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/SanyalKGK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Scarlett18,
author = {Jonathan Scarlett},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Tight Regret Bounds for Bayesian Optimization in One Dimension},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4507--4515},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/scarlett18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Scarlett18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SchmitJ18,
author = {Sven Schmit and
Ramesh Johari},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning with Abandonment},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4516--4524},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/schmit18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SchmitJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SchwabKMMSK18,
author = {Patrick Schwab and
Emanuela Keller and
Carl Muroi and
David J. Mack and
Christian Str{\"{a}}ssle and
Walter Karlen},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
Care},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4525--4534},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/schwab18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SchwabKMMSK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Schwarz0LGTPH18,
author = {Jonathan Schwarz and
Wojciech Czarnecki and
Jelena Luketina and
Agnieszka Grabska{-}Barwinska and
Yee Whye Teh and
Razvan Pascanu and
Raia Hadsell},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Progress {\&} Compress: {A} scalable framework for continual learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4535--4544},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/schwarz18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Schwarz0LGTPH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SenKS18,
author = {Rajat Sen and
Kirthevasan Kandasamy and
Sanjay Shakkottai},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Multi-Fidelity Black-Box Optimization with Hierarchical Partitions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4545--4554},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SenKS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SerraSMK18,
author = {Joan Serr{\`{a}} and
Didac Suris and
Marius Miron and
Alexandros Karatzoglou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Overcoming Catastrophic Forgetting with Hard Attention to the Task},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4555--4564},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/serra18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SerraSMK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SerraTR18,
author = {Thiago Serra and
Christian Tjandraatmadja and
Srikumar Ramalingam},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bounding and Counting Linear Regions of Deep Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4565--4573},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/serra18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SerraTR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SewardUBJH18,
author = {Calvin Seward and
Thomas Unterthiner and
Urs Bergmann and
Nikolay Jetchev and
Sepp Hochreiter},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {First Order Generative Adversarial Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4574--4583},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/seward18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SewardUBJH18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SharchilevUSR18,
author = {Boris Sharchilev and
Yury Ustinovskiy and
Pavel Serdyukov and
Maarten de Rijke},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Finding Influential Training Samples for Gradient Boosted Decision
Trees},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4584--4592},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sharchilev18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SharchilevUSR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SharmaNK18,
author = {Charu Sharma and
Deepak Nathani and
Manohar Kaul},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Solving Partial Assignment Problems using Random Clique Complexes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4593--4602},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sharma18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SharmaNK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ShazeerS18,
author = {Noam Shazeer and
Mitchell Stern},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adafactor: Adaptive Learning Rates with Sublinear Memory Cost},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4603--4611},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/shazeer18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ShazeerS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Sheffet18,
author = {Or Sheffet},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Locally Private Hypothesis Testing},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4612--4621},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sheffet18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Sheffet18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SheldonWS18,
author = {Daniel Sheldon and
Kevin Winner and
Debora Sujono},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning in Integer Latent Variable Models with Nested Automatic Differentiation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4622--4630},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sheldon18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SheldonWS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ShenMZZQ18,
author = {Zebang Shen and
Aryan Mokhtari and
Tengfei Zhou and
Peilin Zhao and
Hui Qian},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Towards More Efficient Stochastic Decentralized Learning: Faster Convergence
and Sparse Communication},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4631--4640},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/shen18a.html},
timestamp = {Wed, 15 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ShenMZZQ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ShenSWLZ18,
author = {Li Shen and
Peng Sun and
Yitong Wang and
Wei Liu and
Tong Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal
Extra-Gradient Method},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4641--4650},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/shen18b.html},
timestamp = {Wed, 19 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ShenSWLZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ShiS018,
author = {Jiaxin Shi and
Shengyang Sun and
Jun Zhu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Spectral Approach to Gradient Estimation for Implicit Distributions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4651--4660},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/shi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ShiS018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ShiarlisWSWP18,
author = {Kyriacos Shiarlis and
Markus Wulfmeier and
Sasha Salter and
Shimon Whiteson and
Ingmar Posner},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{TACO:} Learning Task Decomposition via Temporal Alignment for Control},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4661--4670},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/shiarlis18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ShiarlisWSWP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SibliniMK18,
author = {Wissam Siblini and
Frank Meyer and
Pascale Kuntz},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label
Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4671--4680},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/siblini18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SibliniMK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SimsekliYNCR18,
author = {Umut Simsekli and
{\c{C}}agatay Yildiz and
Thanh Huy Nguyen and
A. Taylan Cemgil and
Ga{\"{e}}l Richard},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Asynchronous Stochastic Quasi-Newton {MCMC} for Non-Convex Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4681--4690},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/simsekli18a.html},
timestamp = {Mon, 28 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/SimsekliYNCR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Sinha18,
author = {Kaushik Sinha},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {K-means clustering using random matrix sparsification},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4691--4699},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sinha18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Sinha18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Skerry-RyanBXWS18,
author = {R. J. Skerry{-}Ryan and
Eric Battenberg and
Ying Xiao and
Yuxuan Wang and
Daisy Stanton and
Joel Shor and
Ron J. Weiss and
Rob Clark and
Rif A. Saurous},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Towards End-to-End Prosody Transfer for Expressive Speech Synthesis
with Tacotron},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4700--4709},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/skerry-ryan18a.html},
timestamp = {Mon, 25 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Skerry-RyanBXWS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SmithHP18,
author = {Matthew J. A. Smith and
Herke van Hoof and
Joelle Pineau},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Inference-Based Policy Gradient Method for Learning Options},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4710--4719},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/smith18a.html},
timestamp = {Thu, 07 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SmithHP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SongSE18,
author = {Yang Song and
Jiaming Song and
Stefano Ermon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Accelerating Natural Gradient with Higher-Order Invariance},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4720--4729},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/song18a.html},
timestamp = {Thu, 01 Oct 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SongSE18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SrinivasF18,
author = {Suraj Srinivas and
Fran{\c{c}}ois Fleuret},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Knowledge Transfer with Jacobian Matching},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4730--4738},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/srinivas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SrinivasF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SrinivasJALF18,
author = {Aravind Srinivas and
Allan Jabri and
Pieter Abbeel and
Sergey Levine and
Chelsea Finn},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Universal Planning Networks: Learning Generalizable Representations
for Visuomotor Control},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4739--4748},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/srinivas18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SrinivasJALF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SroujiZS18,
author = {Mario Srouji and
Jian Zhang and
Ruslan Salakhutdinov},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Structured Control Nets for Deep Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4749--4758},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/srouji18a.html},
timestamp = {Wed, 26 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SroujiZS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Streeter18,
author = {Matthew Streeter},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Approximation Algorithms for Cascading Prediction Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4759--4767},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/streeter18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Streeter18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SuW18,
author = {Bing Su and
Ying Wu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Low-Dimensional Temporal Representations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4768--4777},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/su18a.html},
timestamp = {Thu, 07 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SuW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SuganumaOO18,
author = {Masanori Suganuma and
Mete Ozay and
Takayuki Okatani},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Exploiting the Potential of Standard Convolutional Autoencoders for
Image Restoration by Evolutionary Search},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4778--4787},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/suganuma18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SuganumaOO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SuiZBY18,
author = {Yanan Sui and
Vincent Zhuang and
Joel W. Burdick and
Yisong Yue},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stagewise Safe Bayesian Optimization with Gaussian Processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4788--4796},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sui18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SuiZBY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SunNSL18,
author = {Shao{-}Hua Sun and
Hyeonwoo Noh and
Sriram Somasundaram and
Joseph J. Lim},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Neural Program Synthesis from Diverse Demonstration Videos},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4797--4806},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sun18a.html},
timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SunNSL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SunP18,
author = {Ruoxi Sun and
Liam Paninski},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Scalable Approximate Bayesian Inference for Particle Tracking Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4807--4816},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sun18b.html},
timestamp = {Tue, 26 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/SunP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SunTLZ18,
author = {Qiang Sun and
Kean Ming Tan and
Han Liu and
Tong Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Graphical Nonconvex Optimization via an Adaptive Convex Relaxation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4817--4824},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sun18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SunTLZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SunYDB18,
author = {Qingyun Sun and
Mengyuan Yan and
David L. Donoho and
Stephen P. Boyd},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Convolutional Imputation of Matrix Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4825--4834},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sun18d.html},
timestamp = {Thu, 06 Jun 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SunYDB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SunZWZLG18,
author = {Shengyang Sun and
Guodong Zhang and
Chaoqi Wang and
Wenyuan Zeng and
Jiaman Li and
Roger B. Grosse},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Differentiable Compositional Kernel Learning for Gaussian Processes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4835--4844},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/sun18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/SunZWZLG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Talvitie18,
author = {Erik Talvitie},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning the Reward Function for a Misspecified Model},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4845--4854},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/talvitie18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Talvitie18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TangLYZL18,
author = {Hanlin Tang and
Xiangru Lian and
Ming Yan and
Ce Zhang and
Ji Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {D\({}^{\mbox{2}}\): Decentralized Training over Decentralized Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4855--4863},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tang18a.html},
timestamp = {Tue, 12 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/TangLYZL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TaniaiM18,
author = {Tatsunori Taniai and
Takanori Maehara},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Neural Inverse Rendering for General Reflectance Photometric Stereo},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4864--4873},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/taniai18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TaniaiM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TanseyWBR18,
author = {Wesley Tansey and
Yixin Wang and
David M. Blei and
Raul Rabadan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Black Box {FDR}},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4874--4883},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tansey18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TanseyWBR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TaoBZ18,
author = {Chao Tao and
Sa{\'{u}}l A. Blanco and
Yuan Zhou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Best Arm Identification in Linear Bandits with Linear Dimension Dependency},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4884--4893},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tao18a.html},
timestamp = {Thu, 06 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TaoBZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TaoCHFC18,
author = {Chenyang Tao and
Liqun Chen and
Ricardo Henao and
Jianfeng Feng and
Lawrence Carin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Chi-square Generative Adversarial Network},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4894--4903},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tao18b.html},
timestamp = {Fri, 02 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TaoCHFC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TaylorSL18,
author = {Adrien B. Taylor and
Bryan Van Scoy and
Laurent Lessard},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Lyapunov Functions for First-Order Methods: Tight Automated Convergence
Guarantees},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4904--4913},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/taylor18a.html},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/TaylorSL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TeyeAS18,
author = {Mattias Teye and
Hossein Azizpour and
Kevin Smith},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bayesian Uncertainty Estimation for Batch Normalized Deep Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4914--4923},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/teye18a.html},
timestamp = {Fri, 10 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/TeyeAS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ThomasDB18,
author = {Philip S. Thomas and
Christoph Dann and
Emma Brunskill},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Decoupling Gradient-Like Learning Rules from Representations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4924--4932},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/thomas18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ThomasDB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TianZZ18,
author = {Kevin Tian and
Teng Zhang and
James Zou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {CoVeR: Learning Covariate-Specific Vector Representations with Tensor
Decompositions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4933--4942},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tian18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TianZZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TirinzoniSPR18,
author = {Andrea Tirinzoni and
Andrea Sessa and
Matteo Pirotta and
Marcello Restelli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Importance Weighted Transfer of Samples in Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4943--4952},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tirinzoni18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TirinzoniSPR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TongYAV18,
author = {Liang Tong and
Sixie Yu and
Scott Alfeld and
Yevgeniy Vorobeychik},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarial Regression with Multiple Learners},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4953--4961},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tong18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TongYAV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TouatiBPV18,
author = {Ahmed Touati and
Pierre{-}Luc Bacon and
Doina Precup and
Pascal Vincent},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Convergent {TREE} {BACKUP} and {RETRACE} with Function Approximation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4962--4971},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/touati18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TouatiBPV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TrinhDLL18,
author = {Trieu H. Trinh and
Andrew M. Dai and
Thang Luong and
Quoc V. Le},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Longer-term Dependencies in RNNs with Auxiliary Losses},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4972--4981},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/trinh18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TrinhDLL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TsakirisV18,
author = {Manolis C. Tsakiris and
Ren{\'{e}} Vidal},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Theoretical Analysis of Sparse Subspace Clustering with Missing Entries},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4982--4991},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tsakiris18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TsakirisV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TschannenKA18,
author = {Michael Tschannen and
Aran Khanna and
Animashree Anandkumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {StrassenNets: Deep Learning with a Multiplication Budget},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {4992--5001},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tschannen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TschannenKA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TsuchidaRG18,
author = {Russell Tsuchida and
Farbod Roosta{-}Khorasani and
Marcus Gallagher},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Invariance of Weight Distributions in Rectified MLPs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5002--5011},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tsuchida18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TsuchidaRG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TuR18,
author = {Stephen Tu and
Benjamin Recht},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Least-Squares Temporal Difference Learning for the Linear Quadratic
Regulator},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5012--5021},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TuR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/TuckerBGTGL18,
author = {George Tucker and
Surya Bhupatiraju and
Shixiang Gu and
Richard E. Turner and
Zoubin Ghahramani and
Sergey Levine},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {The Mirage of Action-Dependent Baselines in Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5022--5031},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/tucker18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/TuckerBGTGL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/UesatoOKO18,
author = {Jonathan Uesato and
Brendan O'Donoghue and
Pushmeet Kohli and
A{\"{a}}ron van den Oord},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarial Risk and the Dangers of Evaluating Against Weak Attacks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5032--5041},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/uesato18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/UesatoOKO18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/VahdatMBKA18,
author = {Arash Vahdat and
William G. Macready and
Zhengbing Bian and
Amir Khoshaman and
Evgeny Andriyash},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{DVAE++:} Discrete Variational Autoencoders with Overlapping Transformations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5042--5051},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/vahdat18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/VahdatMBKA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/VermaMSKC18,
author = {Abhinav Verma and
Vijayaraghavan Murali and
Rishabh Singh and
Pushmeet Kohli and
Swarat Chaudhuri},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Programmatically Interpretable Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5052--5061},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/verma18a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/VermaMSKC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/VogelBC18,
author = {Robin Vogel and
Aur{\'{e}}lien Bellet and
St{\'{e}}phan Cl{\'{e}}men{\c{c}}on},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Probabilistic Theory of Supervised Similarity Learning for Pointwise
{ROC} Curve Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5062--5071},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/vogel18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/VogelBC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WagnerGKM18,
author = {Tal Wagner and
Sudipto Guha and
Shiva Prasad Kasiviswanathan and
Nina Mishra},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Semi-Supervised Learning on Data Streams via Temporal Label Propagation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5082--5091},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wagner18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WagnerGKM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WalderK18,
author = {Christian J. Walder and
Dongwoo Kim},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Neural Dynamic Programming for Musical Self Similarity},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5092--5100},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/walder18a.html},
timestamp = {Fri, 10 Jan 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WalderK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangC18,
author = {Siwei Wang and
Wei Chen},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Thompson Sampling for Combinatorial Semi-Bandits},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5101--5109},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18a.html},
timestamp = {Tue, 30 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WangC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangGLWY18,
author = {Yunbo Wang and
Zhifeng Gao and
Mingsheng Long and
Jianmin Wang and
Philip S. Yu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {PredRNN++: Towards {A} Resolution of the Deep-in-Time Dilemma in Spatiotemporal
Predictive Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5110--5119},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18b.html},
timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangGLWY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangJC18,
author = {Yizhen Wang and
Somesh Jha and
Kamalika Chaudhuri},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Analyzing the Robustness of Nearest Neighbors to Adversarial Examples},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5120--5129},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangJC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangK18,
author = {Xingyu Wang and
Diego Klabjan},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal
Demonstrations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5130--5138},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangLS18,
author = {Sinong Wang and
Jiashang Liu and
Ness B. Shroff},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Coded Sparse Matrix Multiplication},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5139--5147},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangLS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangSL18,
author = {Jing Wang and
Jie Shen and
Ping Li},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Provable Variable Selection for Streaming Features},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5158--5166},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18g.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangSL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangSQ18,
author = {Beilun Wang and
Arshdeep Sekhon and
Yanjun Qi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Fast and Scalable Joint Estimator for Integrating Additional Knowledge
in Learning Multiple Related Sparse Gaussian Graphical Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5148--5157},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18f.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangSQ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangSZRBSXJRS18,
author = {Yuxuan Wang and
Daisy Stanton and
Yu Zhang and
R. J. Skerry{-}Ryan and
Eric Battenberg and
Joel Shor and
Ying Xiao and
Ye Jia and
Fei Ren and
Rif A. Saurous},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Style Tokens: Unsupervised Style Modeling, Control and Transfer in
End-to-End Speech Synthesis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5167--5176},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18h.html},
timestamp = {Wed, 20 Jul 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangSZRBSXJRS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangVLGGZ18,
author = {Kuan{-}Chieh Wang and
Paul Vicol and
James Lucas and
Li Gu and
Roger B. Grosse and
Richard S. Zemel},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarial Distillation of Bayesian Neural Network Posteriors},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5177--5186},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18i.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangVLGGZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangWY18,
author = {Xue Wang and
Mike Mingcheng Wei and
Tao Yao},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional
Convariates},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5187--5195},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18j.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangWY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangYKN18,
author = {Yaqing Wang and
Quanming Yao and
James Tin{-}Yau Kwok and
Lionel M. Ni},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Online Convolutional Sparse Coding with Sample-Dependent Dictionary},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5196--5205},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18k.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangYKN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangZ018,
author = {Dilin Wang and
Zhe Zeng and
Qiang Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stein Variational Message Passing for Continuous Graphical Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5206--5214},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18l.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangZ018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WangZLMM18,
author = {Shuaiwen Wang and
Wenda Zhou and
Haihao Lu and
Arian Maleki and
Vahab S. Mirrokni},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5215--5224},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wang18m.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WangZLMM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WehrmannCB18,
author = {Jonatas Wehrmann and
Ricardo Cerri and
Rodrigo C. Barros},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hierarchical Multi-Label Classification Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5225--5234},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wehrmann18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WehrmannCB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WeiZHY18,
author = {Ying Wei and
Yu Zhang and
Junzhou Huang and
Qiang Yang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Transfer Learning via Learning to Transfer},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5072--5081},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wei18a.html},
timestamp = {Sun, 02 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WeiZHY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WeinshallCA18,
author = {Daphna Weinshall and
Gad Cohen and
Dan Amir},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Curriculum Learning by Transfer Learning: Theory and Experiments with
Deep Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5235--5243},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/weinshall18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WeinshallCA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WeissGY18,
author = {Gail Weiss and
Yoav Goldberg and
Eran Yahav},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Extracting Automata from Recurrent Neural Networks Using Queries and
Counterexamples},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5244--5253},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/weiss18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WeissGY18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WeiszGS18,
author = {Gell{\'{e}}rt Weisz and
Andr{\'{a}}s Gy{\"{o}}rgy and
Csaba Szepesv{\'{a}}ri},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{LEAPSANDBOUNDS:} {A} Method for Approximately Optimal Algorithm Configuration},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5254--5262},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/weisz18a.html},
timestamp = {Tue, 19 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WeiszGS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WenHSZCL18,
author = {Haiguang Wen and
Kuan Han and
Junxing Shi and
Yizhen Zhang and
Eugenio Culurciello and
Zhongming Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Predictive Coding Network for Object Recognition},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5263--5272},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WenHSZCL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WengZCSHDBD18,
author = {Tsui{-}Wei Weng and
Huan Zhang and
Hongge Chen and
Zhao Song and
Cho{-}Jui Hsieh and
Luca Daniel and
Duane S. Boning and
Inderjit S. Dhillon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Towards Fast Computation of Certified Robustness for ReLU Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5273--5282},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/weng18a.html},
timestamp = {Wed, 02 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WengZCSHDBD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WichersVEL18,
author = {Nevan Wichers and
Ruben Villegas and
Dumitru Erhan and
Honglak Lee},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hierarchical Long-term Video Prediction without Supervision},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {6033--6041},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wichers18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WichersVEL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WongK18,
author = {Eric Wong and
J. Zico Kolter},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Provable Defenses against Adversarial Examples via the Convex Outer
Adversarial Polytope},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5283--5292},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wong18a.html},
timestamp = {Wed, 16 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WongK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Wu0H018,
author = {Jiaxiang Wu and
Weidong Huang and
Junzhou Huang and
Tong Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Error Compensated Quantized {SGD} and its Applications to Large-scale
Distributed Optimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5321--5329},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18d.html},
timestamp = {Fri, 11 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/Wu0H018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuCN18,
author = {Xian Wu and
Moses Charikar and
Vishnu Natchu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Local Density Estimation in High Dimensions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5293--5301},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WuCN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuGL18,
author = {Huasen Wu and
Xueying Guo and
Xin Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5302--5310},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18b.html},
timestamp = {Thu, 07 Nov 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WuGL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuHS18,
author = {Liwei Wu and
Cho{-}Jui Hsieh and
James Sharpnack},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {SQL-Rank: {A} Listwise Approach to Collaborative Ranking},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5311--5320},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WuHS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuSHDR18,
author = {Yi Wu and
Siddharth Srivastava and
Nicholas Hay and
Simon S. Du and
Stuart Russell},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Discrete-Continuous Mixtures in Probabilistic Programming: Generalized
Semantics and Inference Algorithms},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5339--5348},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18f.html},
timestamp = {Sun, 05 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WuSHDR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuW18,
author = {Hang Wu and
May D. Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Variance Regularized Counterfactual Risk Minimization via Variational
Divergence Minimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5349--5358},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18g.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WuW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WuWWWVL18,
author = {Junru Wu and
Yue Wang and
Zhenyu Wu and
Zhangyang Wang and
Ashok Veeraraghavan and
Yingyan Lin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster
Assignments for Compressing Deep Convolutions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5359--5368},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/wu18h.html},
timestamp = {Wed, 07 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/WuWWWVL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XiBG18,
author = {Xiaoyue Xi and
Fran{\c{c}}ois{-}Xavier Briol and
Mark A. Girolami},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Bayesian Quadrature for Multiple Related Integrals},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5369--5378},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xi18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XiBG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XiaTTQYL18,
author = {Yingce Xia and
Xu Tan and
Fei Tian and
Tao Qin and
Nenghai Yu and
Tie{-}Yan Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Model-Level Dual Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5379--5388},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xia18a.html},
timestamp = {Mon, 29 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/XiaTTQYL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XiaoBSSP18,
author = {Lechao Xiao and
Yasaman Bahri and
Jascha Sohl{-}Dickstein and
Samuel S. Schoenholz and
Jeffrey Pennington},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,
000-Layer Vanilla Convolutional Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5389--5398},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xiao18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XiaoBSSP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XieWZX18,
author = {Pengtao Xie and
Wei Wu and
Yichen Zhu and
Eric P. Xing},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Orthogonality-Promoting Distance Metric Learning: Convex Relaxation
and Theoretical Analysis},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5399--5408},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xie18a.html},
timestamp = {Thu, 04 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/XieWZX18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XieZCC18,
author = {Shaoan Xie and
Zibin Zheng and
Liang Chen and
Chuan Chen},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Semantic Representations for Unsupervised Domain Adaptation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5419--5428},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xie18c.html},
timestamp = {Wed, 21 Oct 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XieZCC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XieZZX18,
author = {Pengtao Xie and
Hongbao Zhang and
Yichen Zhu and
Eric P. Xing},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Nonoverlap-Promoting Variable Selection},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5409--5418},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xie18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XieZZX18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Xu18,
author = {Jiaming Xu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Rates of Convergence of Spectral Methods for Graphon Estimation},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5429--5438},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Xu18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuCZ18,
author = {Hongteng Xu and
Lawrence Carin and
Hongyuan Zha},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Registered Point Processes from Idiosyncratic Observations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5439--5448},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XuCZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuLTSKJ18,
author = {Keyulu Xu and
Chengtao Li and
Yonglong Tian and
Tomohiro Sonobe and
Ken{-}ichi Kawarabayashi and
Stefanie Jegelka},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Representation Learning on Graphs with Jumping Knowledge Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5449--5458},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18c.html},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/XuLTSKJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuLZP18,
author = {Tianbing Xu and
Qiang Liu and
Liang Zhao and
Jian Peng},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning to Explore via Meta-Policy Gradient},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5459--5468},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18d.html},
timestamp = {Sat, 15 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XuLZP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuMBSD18,
author = {Yichong Xu and
Hariank Muthakana and
Sivaraman Balakrishnan and
Aarti Singh and
Artur Dubrawski},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality
with Ordinal Information},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5469--5478},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XuMBSD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuSC18,
author = {Ganggang Xu and
Zuofeng Shang and
Guang Cheng},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with
Massive Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5479--5487},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18f.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XuSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuWG18,
author = {Pan Xu and
Tianhao Wang and
Quanquan Gu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Continuous and Discrete-time Accelerated Stochastic Mirror Descent
for Strongly Convex Functions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5488--5497},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18g.html},
timestamp = {Tue, 10 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XuWG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/XuZFLB18,
author = {Jingyi Xu and
Zilu Zhang and
Tal Friedman and
Yitao Liang and
Guy Van den Broeck},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Semantic Loss Function for Deep Learning with Symbolic Knowledge},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5498--5507},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/xu18h.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/XuZFLB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YabeHSIKFK18,
author = {Akihiro Yabe and
Daisuke Hatano and
Hanna Sumita and
Shinji Ito and
Naonori Kakimura and
Takuro Fukunaga and
Ken{-}ichi Kawarabayashi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Causal Bandits with Propagating Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5508--5516},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yabe18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YabeHSIKFK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YanCJ18,
author = {Songbai Yan and
Kamalika Chaudhuri and
Tara Javidi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Active Learning with Logged Data},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5517--5526},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yan18a.html},
timestamp = {Sun, 12 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/YanCJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YanKZR18,
author = {Bowei Yan and
Oluwasanmi Koyejo and
Kai Zhong and
Pradeep Ravikumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Binary Classification with Karmic, Threshold-Quasi-Concave Metrics},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5527--5536},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yan18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YanKZR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YangK18,
author = {Sikun Yang and
Heinz Koeppl},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dependent Relational Gamma Process Models for Longitudinal Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5547--5556},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yang18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YangK18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YangKU18,
author = {Karren D. Yang and
Abigail Katoff and
Caroline Uhler},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Characterizing and Learning Equivalence Classes of Causal DAGs under
Interventions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5537--5546},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yang18a.html},
timestamp = {Wed, 24 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YangKU18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YangLLZZW18,
author = {Yaodong Yang and
Rui Luo and
Minne Li and
Ming Zhou and
Weinan Zhang and
Jun Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Mean Field Multi-Agent Reinforcement Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5567--5576},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yang18d.html},
timestamp = {Tue, 17 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YangLLZZW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YangLRN18,
author = {Jiasen Yang and
Qiang Liu and
Vinayak A. Rao and
Jennifer Neville},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5557--5566},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yang18c.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YangLRN18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YaoVSG18,
author = {Yuling Yao and
Aki Vehtari and
Daniel Simpson and
Andrew Gelman},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Yes, but Did It Work?: Evaluating Variational Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5577--5586},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yao18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YaoVSG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YaratsL18,
author = {Denis Yarats and
Mike Lewis},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Hierarchical Text Generation and Planning for Strategic Dialogue},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5587--5595},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yarats18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YaratsL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YaroslavtsevV18,
author = {Grigory Yaroslavtsev and
Adithya Vadapalli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Massively Parallel Algorithms and Hardness for Single-Linkage Clustering
under {\unicode{120001}}\({}_{\mbox{p}}\) Distances},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5596--5605},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yaroslavtsev18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YaroslavtsevV18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YeA18,
author = {Min Ye and
Emmanuel Abbe},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Communication-Computation Efficient Gradient Coding},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5606--5615},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ye18a.html},
timestamp = {Sat, 25 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YeA18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YeS18,
author = {Mao Ye and
Yan Sun},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Variable Selection via Penalized Neural Network: a Drop-Out-One Loss
Approach},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5616--5625},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/ye18b.html},
timestamp = {Mon, 17 Apr 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YeS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YeZ0Z18,
author = {Han{-}Jia Ye and
De{-}Chuan Zhan and
Yuan Jiang and
Zhi{-}Hua Zhou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Rectify Heterogeneous Models with Semantic Mapping},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {1904--1913},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/han-jia18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YeZ0Z18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YenKYHKR18,
author = {Ian En{-}Hsu Yen and
Satyen Kale and
Felix X. Yu and
Daniel Niels Holtmann{-}Rice and
Sanjiv Kumar and
Pradeep Ravikumar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Loss Decomposition for Fast Learning in Large Output Spaces},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5626--5635},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yen18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YenKYHKR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YinCRB18,
author = {Dong Yin and
Yudong Chen and
Kannan Ramchandran and
Peter L. Bartlett},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Byzantine-Robust Distributed Learning: Towards Optimal Statistical
Rates},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5636--5645},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yin18a.html},
timestamp = {Tue, 08 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YinCRB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YinZ18,
author = {Mingzhang Yin and
Mingyuan Zhou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Semi-Implicit Variational Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5646--5655},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yin18b.html},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YinZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YonaR18,
author = {Gal Yona and
Guy N. Rothblum},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Probably Approximately Metric-Fair Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5666--5674},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yona18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YonaR18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YoonJS18,
author = {Jinsung Yoon and
James Jordon and
Mihaela van der Schaar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {{GAIN:} Missing Data Imputation using Generative Adversarial Nets},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5675--5684},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yoon18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YoonJS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YoonJS18a,
author = {Jinsung Yoon and
James Jordon and
Mihaela van der Schaar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {RadialGAN: Leveraging multiple datasets to improve target-specific
predictive models using Generative Adversarial Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5685--5693},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yoon18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YoonJS18a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YouYRHL18,
author = {Jiaxuan You and
Rex Ying and
Xiang Ren and
William L. Hamilton and
Jure Leskovec},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5694--5703},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/you18a.html},
timestamp = {Mon, 01 Mar 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/YouYRHL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YuanST18,
author = {Yancheng Yuan and
Defeng Sun and
Kim{-}Chuan Toh},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {An Efficient Semismooth Newton Based Algorithm for Convex Clustering},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5704--5712},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yuan18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YuanST18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YurtseverFLC18,
author = {Alp Yurtsever and
Olivier Fercoq and
Francesco Locatello and
Volkan Cevher},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Conditional Gradient Framework for Composite Convex Minimization
with Applications to Semidefinite Programming},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5713--5722},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/yurtsever18a.html},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/YurtseverFLC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZadikMS18,
author = {Ilias Zadik and
Lester W. Mackey and
Vasilis Syrgkanis},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Orthogonal Machine Learning: Power and Limitations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5723--5731},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zadik18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZadikMS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZanetteB18,
author = {Andrea Zanette and
Emma Brunskill},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Problem Dependent Reinforcement Learning Bounds Which Can Identify
Bandit Structure in MDPs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5732--5740},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zanette18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZanetteB18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangCLC18,
author = {Ruiyi Zhang and
Changyou Chen and
Chunyuan Li and
Lawrence Carin},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Policy Optimization as Wasserstein Gradient Flows},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5741--5750},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangCLC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangDG18,
author = {Xiao Zhang and
Simon S. Du and
Quanquan Gu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase
Procrustes Flow},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5751--5760},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18b.html},
timestamp = {Wed, 21 Oct 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangDG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangFL18,
author = {Jiyuan Zhang and
Franz Franchetti and
Tze Meng Low},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {High Performance Zero-Memory Overhead Direct Convolutions},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5771--5780},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18d.html},
timestamp = {Mon, 14 Nov 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ZhangFL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangFS18,
author = {Richard Y. Zhang and
Salar Fattahi and
Somayeh Sojoudi},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Large-Scale Sparse Inverse Covariance Estimation via Thresholding
and Max-Det Matrix Completion},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5761--5770},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangFS18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangHMLZ18,
author = {Weizhong Zhang and
Bin Hong and
Lin Ma and
Wei Liu and
Tong Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Safe Element Screening for Submodular Function Minimization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5781--5790},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangHMLZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangKL18,
author = {Xueru Zhang and
Mohammad Mahdi Khalili and
Mingyan Liu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5791--5800},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18f.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangKL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangLD18,
author = {Jiong Zhang and
Qi Lei and
Inderjit S. Dhillon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stabilizing Gradients for Deep Neural Networks via Efficient {SVD}
Parameterization},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5801--5809},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18g.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangLD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangLSD18,
author = {Jiong Zhang and
Yibo Lin and
Zhao Song and
Inderjit S. Dhillon},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Learning Long Term Dependencies via Fourier Recurrent Units},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5810--5818},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18h.html},
timestamp = {Wed, 02 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ZhangLSD18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangNL18,
author = {Liwen Zhang and
Gregory Naitzat and
Lek{-}Heng Lim},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Tropical Geometry of Deep Neural Networks},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5819--5827},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18i.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangNL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangP18,
author = {Aonan Zhang and
John W. Paisley},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Deep Bayesian Nonparametric Tracking},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5828--5836},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18j.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangSDG18,
author = {Guodong Zhang and
Shengyang Sun and
David Duvenaud and
Roger B. Grosse},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Noisy Natural Gradient as Variational Inference},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5847--5856},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18l.html},
timestamp = {Mon, 22 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangSDG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangSLSF18,
author = {Amy Zhang and
Sainbayar Sukhbaatar and
Adam Lerer and
Arthur Szlam and
Rob Fergus},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Composable Planning with Attributes},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5837--5846},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18k.html},
timestamp = {Tue, 01 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangSLSF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangWYG18,
author = {Xiao Zhang and
Lingxiao Wang and
Yaodong Yu and
Quanquan Gu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank
Matrix Recovery},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5857--5866},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18m.html},
timestamp = {Thu, 11 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangWYG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangYJZ18,
author = {Lijun Zhang and
Tianbao Yang and
Rong Jin and
Zhi{-}Hua Zhou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Dynamic Regret of Strongly Adaptive Methods},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5877--5886},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18o.html},
timestamp = {Wed, 15 Dec 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ZhangYJZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhangYL0B18,
author = {Kaiqing Zhang and
Zhuoran Yang and
Han Liu and
Tong Zhang and
Tamer Basar},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Fully Decentralized Multi-Agent Reinforcement Learning with Networked
Agents},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5867--5876},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhang18n.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhangYL0B18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Zhao0FYW18,
author = {Bo Zhao and
Xinwei Sun and
Yanwei Fu and
Yuan Yao and
Yizhou Wang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {MSplit {LBI:} Realizing Feature Selection and Dense Estimation Simultaneously
in Few-shot and Zero-shot Learning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5907--5916},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhao18c.html},
timestamp = {Fri, 28 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/Zhao0FYW18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhaoDBZ18,
author = {He Zhao and
Lan Du and
Wray L. Buntine and
Mingyuan Zhou},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Inter and Intra Topic Structure Learning with Word Embeddings},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5887--5896},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhao18a.html},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhaoDBZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhaoKZRL18,
author = {Junbo Jake Zhao and
Yoon Kim and
Kelly Zhang and
Alexander M. Rush and
Yann LeCun},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Adversarially Regularized Autoencoders},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5897--5906},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhao18b.html},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhaoKZRL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhaoX18,
author = {Zhibing Zhao and
Lirong Xia},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Composite Marginal Likelihood Methods for Random Utility Models},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5917--5926},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhao18d.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhaoX18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhengPF18,
author = {Sue Zheng and
Jason Pacheco and
John W. Fisher III},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Robust Approach to Sequential Information Theoretic Planning},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5936--5944},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zheng18b.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhengPF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhitnikovMM18,
author = {Andrey Zhitnikov and
Rotem Mulayoff and
Tomer Michaeli},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Revealing Common Statistical Behaviors in Heterogeneous Populations},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5945--5954},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhitnikov18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhitnikovMM18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhouF18,
author = {Pan Zhou and
Jiashi Feng},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Understanding Generalization and Optimization Performance of Deep
CNNs},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5955--5964},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhou18a.html},
timestamp = {Thu, 20 Jun 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhouF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhouMBGYLF18,
author = {Zhengyuan Zhou and
Panayotis Mertikopoulos and
Nicholas Bambos and
Peter W. Glynn and
Yinyu Ye and
Li{-}Jia Li and
Li Fei{-}Fei},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Distributed Asynchronous Optimization with Unbounded Delays: How Slow
Can You Go?},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5965--5974},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhou18b.html},
timestamp = {Sun, 18 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/ZhouMBGYLF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhouSC18,
author = {Kaiwen Zhou and
Fanhua Shang and
James Cheng},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {A Simple Stochastic Variance Reduced Algorithm with Fast Convergence
Rates},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5975--5984},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhou18c.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhouSC18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhouXG18,
author = {Dongruo Zhou and
Pan Xu and
Quanquan Gu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Variance-Reduced Cubic Regularized Newton Method},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5985--5994},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhou18d.html},
timestamp = {Tue, 10 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhouXG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhouZZ18,
author = {Yichi Zhou and
Jun Zhu and
Jingwei Zhuo},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Racing Thompson: an Efficient Algorithm for Thompson Sampling with
Non-conjugate Priors},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {5995--6003},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhou18e.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhouZZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhuL18,
author = {Yuancheng Zhu and
John Lafferty},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Distributed Nonparametric Regression under Communication Constraints},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {6004--6012},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhu18a.html},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhuL18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZhuoLSZCZ18,
author = {Jingwei Zhuo and
Chang Liu and
Jiaxin Shi and
Jun Zhu and
Ning Chen and
Bo Zhang},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Message Passing Stein Variational Gradient Descent},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {6013--6022},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zhuo18a.html},
timestamp = {Wed, 22 Apr 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZhuoLSZCZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZouXG18,
author = {Difan Zou and
Pan Xu and
Quanquan Gu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Stochastic Variance-Reduced Hamilton Monte Carlo Methods},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {6023--6032},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/zou18a.html},
timestamp = {Tue, 10 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZouXG18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/icml/2018,
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/2018.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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