Léon Bottou’s primary research interest is machine learning. His contributions to this field address theory, algorithms and large scale applications. His secondary research interest is data compression and coding. Bottou’s best-known contributions are his work on large scale learning and on the DjVu document compression technology. He has published more than 80 papers, and is serving or has served on the boards of the Journal of Machine Learning Research, IEEE TPAMI and Pattern Recognition Letters.
Bottou, L. et al. "Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising." J. Mach. Learn. Res. 14 (November 2013): 3207–3260.
Bottou, L., and O. Bousquet. "The Tradeoffs of Large Scale Learning." In Proceedings of Advances in Neural Information Processing Systems, vol. 20, edited by J.C. Platt et al, 161–68. NIPS Foundation, 2008.
Bottou, L. et al. "Global Training of Document Processing Systems using Graph Transformer Networks." In Proceedings of Computer Vision and Pattern Recognition (CVPR), 489–93. Puerto Rico: IEEE, 1997.
L. Bottou et al. "Experiments with Time Delay Networks and Dynamic Time Warping for Speaker Independent Isolated Digit Recognition." In Proceedings of EuroSpeech 89, vol. 2, 537–40. Paris, 1989.