Olivier Bousquet

Research interests

Publications

• Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

  arXiv (Cornell University) · 2022 · 10.48550/arxiv.2205.10625

• Google Research Football: A Novel Reinforcement Learning Environment

  AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 2020 · 10.1609/aaai.v34i04.5878

• Measuring Compositional Generalization: A Comprehensive Method on\n Realistic Data

  arXiv (Cornell University) · 2019 · 10.48550/arxiv.1912.09713

• A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

  arXiv (Cornell University) · 2019 · 10.48550/arxiv.1910.04867

• Wasserstein Auto-Encoders

  MPG.PuRe (Max Planck Society) · 2018

• Assessing Generative Models via Precision and Recall

  arXiv (Cornell University) · 2018 · 10.48550/arxiv.1806.00035

• Wasserstein Auto-Encoders

  arXiv (Cornell University) · 2017 · 10.48550/arxiv.1711.01558

• AdaGAN: Boosting Generative Models

  arXiv (Cornell University) · 2017 · 10.48550/arxiv.1701.02386

• HyMeX-SOP1: The Field Campaign Dedicated to Heavy Precipitation and Flash Flooding in the Northwestern Mediterranean

  Bulletin of the American Meteorological Society · 2013 · 10.1175/bams-d-12-00244.1

• The Tradeoffs of Large-Scale Learning

  The MIT Press eBooks · 2011 · https://doi.org/10.7551/mitpress/8996.003.0015

• Statistical performance of support vector machines

  The Annals of Statistics · 2008 · 10.1214/009053607000000839

• Consistency of spectral clustering

  The Annals of Statistics · 2008 · 10.1214/009053607000000640

• Theory of Classification: a Survey of Some Recent Advances

  ESAIM Probability and Statistics · 2005 · 10.1051/ps:2005018

• Kernel Methods for Measuring Independence

  ANU Open Research (Australian National University) · 2005

• Measuring Statistical Dependence with Hilbert-Schmidt Norms

  Lecture notes in computer science · 2005 · https://doi.org/10.1007/11564089_7

• Introduction to Statistical Learning Theory

  Lecture notes in computer science · 2004 · 10.1007/978-3-540-28650-9_8

• Advanced Lectures on Machine Learning

  Lecture notes in computer science · 2004 · 10.1007/b100712

• Ranking on Data Manifolds

  MPG.PuRe (Max Planck Society) · 2003

• Distance-Based Classification with Lipschitz Functions

  Lecture notes in computer science · 2003 · 10.1007/978-3-540-45167-9_24

• Learning with Local and Global Consistency

  MPG.PuRe (Max Planck Society) · 2003

• A Bennett concentration inequality and its application to suprema of empirical processes

  Comptes Rendus Mathématique · 2002 · 10.1016/s1631-073x(02)02292-6

• Local Rademacher Complexities

  · 2002

• Choosing Multiple Parameters for Support Vector Machines

  Machine Learning · 2002 · https://doi.org/10.1023/a:1012450327387

• The ‘ins’ and ‘outs’ of intermediate filament organization

  Trends in Cell Biology · 2000 · 10.1016/s0962-8924(00)01828-6

Current projects

No projects listed.