OB
Olivier Bousquet
cs.LGstat.MLcs.AImath.STstat.THcs.CLcs.CCcs.ITmath.ITcs.CV
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
46 papers in the corpus · 1998–2026Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
Voxtral TTS2603.25551v2 · Mistral-AI: Alexander H. Liu, Alexis Tacnet, Andy Ehrenberg et al.2026 · 0 citationsarXiv
Voxtral Realtime2602.11298v3 · Mistral-AI: Alexander H. Liu, Andy Ehrenberg, Andy Lo et al.2026 · 0 citationsarXiv
Ministral 32601.08584v1 · Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian et al.2026 · 5 citationsarXiv
Evaluation of retrieval-based QA on QUEST-LOFT2511.06125v1 · Nathan Scales, Nathanael Scharli, Olivier Bousquet2025 · 0 citationsarXiv
Diagonalization Games2301.01924v3 · Noga Alon, Olivier Bousquet, Kasper Green Larsen et al.2023 · 0 citationsarXiv
Differentially-Private Bayes Consistency2212.04216v1 · Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich et al.2022 · 0 citationsarXiv
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima2210.01513v2 · Peter L. Bartlett, Philip M. Long, Olivier Bousquet2022 · 2 citationsarXiv
Compositional Semantic Parsing with Large Language Models2209.15003v2 · Andrew Drozdov, Nathanael Scharli, Ekin Akyurek et al.2022 · 43 citationsarXiv
Fine-Grained Distribution-Dependent Learning Curves2208.14615v2 · Olivier Bousquet, Steve Hanneke, Shay Moran et al.2022 · 0 citationsarXiv
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models2205.10625v3 · Denny Zhou, Nathanael Scharli, Le Hou et al.2022 · 379 citationsarXiv
Monotone Learning2202.05246v3 · Olivier Bousquet, Amit Daniely, Haim Kaplan et al.2022 · 3 citationsarXiv
Statistically Near-Optimal Hypothesis Selection2108.07880v1 · Olivier Bousquet, Mark Braverman, Klim Efremenko et al.2021 · 0 citationsarXiv
A Theory of Universal Learning2011.04483v1 · Olivier Bousquet, Steve Hanneke, Shay Moran et al.2020 · 19 citationsarXiv
What Do Neural Networks Learn When Trained With Random Labels?2006.10455v2 · Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin et al.2020 · 47 citationsarXiv
Proper Learning, Helly Number, and an Optimal SVM Bound2005.11818v1 · Olivier Bousquet, Steve Hanneke, Shay Moran et al.2020 · 20 citationsarXiv
Predicting Neural Network Accuracy from Weights2002.11448v4 · Thomas Unterthiner, Daniel Keysers, Sylvain Gelly et al.2020 · 37 citationsarXiv
Iterated Jackknives and Two-Sided Variance Inequalities1912.12776v1 · Olivier Bousquet, Christian Houdr'e2019 · 2 citationsarXiv
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data1912.09713v2 · Daniel Keysers, Nathanael Scharli, Nathan Scales et al.2019 · 183 citationsarXiv
Fast classification rates without standard margin assumptions1910.12756v2 · Olivier Bousquet, Nikita Zhivotovskiy2019 · 10 citationsarXiv
Sharper bounds for uniformly stable algorithms1910.07833v2 · Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy2019 · 49 citationsarXiv
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark1910.04867v2 · Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov et al.2019 · 161 citationsarXiv
Google Research Football: A Novel Reinforcement Learning Environment1907.11180v2 · Karol Kurach, Anton Raichuk, Piotr Sta'nczyk et al.2019 · 314 citationsarXiv
When can unlabeled data improve the learning rate?1905.11866v2 · Christina Gopfert, Shai Ben-David, Olivier Bousquet et al.2019 · 7 citationsProceedings of the Thirty-Second Conference on Learning Theory, PMLR 99:1500-1518, 2019
Practical and Consistent Estimation of f-Divergences1905.11112v2 · Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga et al.2019 · 12 citations33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada
Precision-Recall Curves Using Information Divergence Frontiers1905.10768v2 · Josip Djolonga, Mario Lucic, Marco Cuturi et al.2019 · 9 citationsarXiv
The Optimal Approximation Factor in Density Estimation1902.05876v5 · Olivier Bousquet, Daniel Kane, Shay Moran2019 · 10 citationsarXiv
Synthetic Data Generators: Sequential and Private1902.03468v4 · Olivier Bousquet, Roi Livni, Shay Moran2019 · 2 citationsarXiv
Assessing Generative Models via Precision and Recall1806.00035v2 · Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic et al.2018 · 275 citationsarXiv
Gradient Descent Quantizes ReLU Network Features1803.08367v1 · Hartmut Maennel, Olivier Bousquet, Sylvain Gelly2018 · 28 citationsarXiv
Are GANs Created Equal? A Large-Scale Study1711.10337v4 · Mario Lucic, Karol Kurach, Marcin Michalski et al.2017 · 751 citationsarXiv
Wasserstein Auto-Encoders1711.01558v4 · Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly et al.2017 · 176 citationsarXiv
Toward Optimal Run Racing: Application to Deep Learning Calibration1706.03199v2 · Olivier Bousquet, Sylvain Gelly, Karol Kurach et al.2017 · 0 citationsarXiv
Critical Hyper-Parameters: No Random, No Cry1706.03200v1 · Olivier Bousquet, Sylvain Gelly, Karol Kurach et al.2017 · 30 citationsarXiv
Approximation and Convergence Properties of Generative Adversarial Learning1705.08991v1 · Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri2017 · 90 citationsarXiv
Better Text Understanding Through Image-To-Text Transfer1705.08386v2 · Karol Kurach, Sylvain Gelly, Michal Jastrzebski et al.2017 · 6 citationsarXiv
From optimal transport to generative modeling: the VEGAN cookbook1705.07642v1 · Olivier Bousquet, Sylvain Gelly, Ilya Tolstikhin et al.2017 · 86 citationsarXiv
AdaGAN: Boosting Generative Models1701.02386v2 · Ilya Tolstikhin, Sylvain Gelly, Olivier Bousquet et al.2017 · 173 citationsarXiv
Prototype classification: insights from machine learning.19431284 · Graf, Arnulf B A, Bousquet, Olivier, Rätsch, Gunnar et al.2009 · 24 citationsNeural computation. 2009;21(1):272-300
Consistency of spectral clustering0804.0678v1 · Ulrike von Luxburg, Mikhail Belkin, Olivier Bousquet2008 · 541 citationsAnnals of Statistics 2008, Vol. 36, No. 2, 555-586
Statistical performance of support vector machines0804.0551v1 · Gilles Blanchard, Olivier Bousquet, Pascal Massart2008 · 169 citationsAnnals of Statistics 2008, Vol. 36, No. 2, 489-531
Comment on "Support Vector Machines with Applications"math/0612820v1 · Olivier Bousquet, Bernhard Scholkopf2006 · 2 citationsStatistical Science 2006, Vol. 21, No. 3, 337-340
Local Rademacher complexitiesmath/0508275v1 · Peter L. Bartlett, Olivier Bousquet, Shahar Mendelson2005 · 372 citationsAnnals of Statistics 2005, Vol. 33, No. 4, 1497-1537
Feature selection and transduction for prediction of molecular bioactivity for drug design.12691989 · Weston, Jason, Pérez-Cruz, Fernando, Bousquet, Olivier et al.2003 · 101 citationsBioinformatics (Oxford, England). 2003;19(6):764-71
Is the hippocampus a Kalman filter?9697220 · Bousquet, O, Balakrishnan, K, Honavar, V1998 · 22 citationsPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 1998:657-68
Career total: 162 works. 46 are in this corpus.
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