Olivier Bousquet

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2001–2023

Best venue rank

Where they publish

Papers

26 indexed papers, newest first.

Year	Venue	Title	Authors
2023	COLT	Fine-Grained Distribution-Dependent Learning Curves.	Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin
2023	ICLR	Compositional Semantic Parsing with Large Language Models.	Andrew Drozdov, Nathanael Schrli, Ekin Akyrek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2023	ICLR	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.	Denny Zhou, Nathanael Schrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
2022	COLT	Monotone Learning.	Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer
2021	FOCS	Statistically Near-Optimal Hypothesis Selection.	Olivier Bousquet, Mark Braverman, Gillat Kol, Klim Efremenko, Shay Moran
2021	STOC	A theory of universal learning.	Olivier Bousquet, Steve Hanneke, Shay Moran, Ramon van Handel, Amir Yehudayoff
2020	AAAI	Google Research Football: A Novel Reinforcement Learning Environment.	Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2020	AISTATS	Precision-Recall Curves Using Information Divergence Frontiers.	Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly
2020	COLT	Proper Learning, Helly Number, and an Optimal SVM Bound.	Olivier Bousquet, Steve Hanneke, Shay Moran, Nikita Zhivotovskiy
2020	COLT	Sharper Bounds for Uniformly Stable Algorithms.	Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy
2020	ICLR	Measuring Compositional Generalization: A Comprehensive Method on Realistic Data.	Daniel Keysers, Nathanael Schrli, 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
2019	COLT	The Optimal Approximation Factor in Density Estimation.	Olivier Bousquet, Daniel Kane, Shay Moran
2019	COLT	When can unlabeled data improve the learning rate?	Christina Gpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner
2018	ICLR	Wasserstein Auto-Encoders.	Ilya O. Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schlkopf
2005	AISTATS	Hilbertian Metrics and Positive Definite Kernels on Probability Measures.	Matthias Hein, Olivier Bousquet
2005	AISTATS	Kernel Constrained Covariance for Dependence Measurement.	Arthur Gretton, Alexander J. Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schlkopf, Nikos K. Logothetis
2005	ALT	Measuring Statistical Dependence with Hilbert-Schmidt Norms.	Arthur Gretton, Olivier Bousquet, Alexander J. Smola, Bernhard Schlkopf
2005	IWANN	Joint Kernel Maps.	Jason Weston, Bernhard Schlkopf, Olivier Bousquet
2004	COLT	On the Convergence of Spectral Clustering on Random Samples: The Normalized Case.	Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin
2004	COLT	Statistical Properties of Kernel Principal Component Analysis.	Laurent Zwald, Olivier Bousquet, Gilles Blanchard
2003	COLT	Maximal Margin Classification for Metric Spaces.	Matthias Hein, Olivier Bousquet
2003	COLT	Distance-Based Classification with Lipschitz Functions.	Ulrike von Luxburg, Olivier Bousquet
2003	ICASSP	Kernel methods and their applications to signal processing.	Olivier Bousquet, Fernando Prez-Cruz
2002	COLT	Localized Rademacher Complexities.	Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson
2002	COLT	Some Local Measures of Complexity of Convex Hulls and Generalization Bounds.	Olivier Bousquet, Vladimir Koltchinskii, Dmitriy Panchenko
2001	COLT	Tracking a Small Set of Experts by Mixing Past Posteriors.	Olivier Bousquet, Manfred K. Warmuth