I received the Diplôme d’Ingénieur de l’École Polytechnique (X84) in 1987, the Magistère de Mathématiques Fondamentales et Appliquées et d’Informatique from École Normale Superieure in 1988, and a PhD in computer science from Université de Paris-Sud in 1991. I went to AT&T Bell Laboratories, AT&T Labs, NEC Labs America and Microsoft Research. I joined the Facebook AI Research in March 2015.
The long term goal of my research is to understand how to build human-level intelligence. Although reaching this goal requires conceptual advances that cannot be anticipated at this point, it certainly entails clarifying how to learn and how to reason. My best known contributions are my work on “deep” neural networks in the 1990s, large scale learning in the 2000s, and possibly my more recent work on causal inference in learning systems. I am also known for the DjVu document compression technology.
Interests
AI, machine learning, optimization, computer vision, signal processing, natural language processing and data compression
Latest Publications
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning
Aaron Defazio, Leon Bottou
NeurIPS - December 8, 2019
First-order Adversarial Vulnerability of Neural Networks and Input Dimension
Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Scholkopf, Leon Bottou, David Lopez-Paz
ICML - June 9, 2019
SING: Symbol-to-Instrument Neural Generator
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Leon Bottou, Francis Bach
NIPS 2018 - October 26, 2018
Optimization Methods for Large-Scale Machine Learning
Leon Bottou, Frank E. Curtis, Jorge Nocedal
SIAM Review - May 8, 2018
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
Levent Sagun, Utku Evci, V. Ugur Güney, Yann Dauphin, Leon Bottou
ICLR 2018 - April 30, 2018
Geometrical Insights for Implicit Generative Modeling
Leon Bottou, Martin Arjovsky, David Lopez-Paz, Maxime Oquab
arXiv - March 12, 2018
Wasserstein Generative Adversarial Networks
Martin Arjovsky, Soumith Chintala, Leon Bottou
ICML 2017 - August 6, 2017
Discovering Causal Signals in Images
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Scholkopf, Leon Bottou
CVPR 2017 - July 21, 2017
Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky, Leon Bottou
ICLR 2017 - April 24, 2017
No Regret Bound for Extreme Bandits
Robert Nishihara, David Lopez-Paz, Leon Bottou
ArXiv - August 12, 2015
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising
Leon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson
JMLR - December 16, 2013
