Léon Bottou Machine learning
Léon’s primary research interest is machine learning. His contributions to this field address theory, algorithms and large scale applications. Léon’s secondary research interest is data compression and coding. His best known contributions are his work on large scale learning and on the DjVu document compression technology. Léon has published over eighty papers. He is serving or has served on the boards of the Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine and Pattern Recognition Letters.
Blavatnik Award for Young Scientists, 2007.
L. Bottou et al, "Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising," J. Mach. Learn. Res. vol. 14, pp. 3207–3260, Nov. 2013.
L. Bottou and O. Bousquet, "The Tradeoffs of Large Scale Learning," Advances in Neural Information Processing Systems, vol. 20, pp. 161–168, J.C. Platt et al, Eds., NIPS Foundation, 2008.
L. Botton et al, "Global Training of Document Processing Systems using Graph Transformer Networks," Proceedings of Computer Vision and Pattern Recognition (CVPR), pp. 489-493, IEEE, Puerto-Rico, 1997.
L. Bottou et al, "Experiments with Time Delay Networks and Dynamic Time Warping for Speaker Independent Isolated Digit Recognition," Proceedings of EuroSpeech 89, vol. 2, pp. 537-540, Paris, France, 1989.
Advisor Learning in Machines & Brains
Facebook AI Research
PhD (Computer Science) Université de Paris-Sud
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