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A Theory of Universal Learning


Nov 09, 2020
Olivier Bousquet, Steve Hanneke, Shay Moran, Ramon van Handel, Amir Yehudayoff


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What Do Neural Networks Learn When Trained With Random Labels?


Jun 18, 2020
Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers


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Proper Learning, Helly Number, and an Optimal SVM Bound


May 24, 2020
Olivier Bousquet, Steve Hanneke, Shay Moran, Nikita Zhivotovskiy


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Predicting Neural Network Accuracy from Weights


Feb 26, 2020
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya Tolstikhin


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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data


Dec 20, 2019
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet

* Accepted for publication at ICLR 2020 

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Fast classification rates without standard margin assumptions


Oct 28, 2019
Olivier Bousquet, Nikita Zhivotovskiy

* 26 pages 

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Sharper bounds for uniformly stable algorithms


Oct 17, 2019
Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy

* 14 pages 

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The Visual Task Adaptation Benchmark


Oct 01, 2019
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby


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Google Research Football: A Novel Reinforcement Learning Environment


Jul 25, 2019
Karol Kurach, Anton Raichuk, Piotr Stańczyk, Michał Zając, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly


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When can unlabeled data improve the learning rate?


May 28, 2019
Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya Tolstikhin, Ruth Urner


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Practical and Consistent Estimation of f-Divergences


May 27, 2019
Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya Tolstikhin


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Evaluating Generative Models Using Divergence Frontiers


May 26, 2019
Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly


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The Optimal Approximation Factor in Density Estimation


Feb 10, 2019
Olivier Bousquet, Daniel Kane, Shay Moran

* 19 pages (including bibliography), 3 figures 

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Passing Tests without Memorizing: Two Models for Fooling Discriminators


Feb 09, 2019
Olivier Bousquet, Roi Livni, Shay Moran


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Are GANs Created Equal? A Large-Scale Study


Oct 29, 2018
Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet

* NIPS'18: Added a section on the limitations of the study and additional empirical results 

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Assessing Generative Models via Precision and Recall


Oct 28, 2018
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic, Olivier Bousquet, Sylvain Gelly

* NIPS 2018 

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Gradient Descent Quantizes ReLU Network Features


Mar 22, 2018
Hartmut Maennel, Olivier Bousquet, Sylvain Gelly


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Wasserstein Auto-Encoders


Mar 12, 2018
Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schoelkopf

* Fixed a typo in Algorithm 2 

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Toward Optimal Run Racing: Application to Deep Learning Calibration


Jun 20, 2017
Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michele Sebag, Olivier Teytaud, Damien Vincent


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Critical Hyper-Parameters: No Random, No Cry


Jun 10, 2017
Olivier Bousquet, Sylvain Gelly, Karol Kurach, Olivier Teytaud, Damien Vincent


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Better Text Understanding Through Image-To-Text Transfer


May 26, 2017
Karol Kurach, Sylvain Gelly, Michal Jastrzebski, Philip Haeusser, Olivier Teytaud, Damien Vincent, Olivier Bousquet


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Approximation and Convergence Properties of Generative Adversarial Learning


May 24, 2017
Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri


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AdaGAN: Boosting Generative Models


May 24, 2017
Ilya Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf

* Updated with MNIST pictures and discussions + Unrolled GAN experiments 

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From optimal transport to generative modeling: the VEGAN cookbook


May 22, 2017
Olivier Bousquet, Sylvain Gelly, Ilya Tolstikhin, Carl-Johann Simon-Gabriel, Bernhard Schoelkopf


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