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Sparse methods for machine learning: Theory and algorithms NIPS 2009 Tutorial Francis Bach (INRIA - Ecole Normale Supérieure, Paris) Slides (6.5 Mb) Slides (low-resolution images - 1.9 Mb) Abstract Regularization by the L1-norm has attracted a lot of interest in recent years in statistics, machine learning and signal processing. In the context of least-square linear regression, the problem is usua

Book: Learning Theory from First Principles, published in December 2024 at MIT Press Final pdf version Code (python, Matlab) Blog post I am a researcher at INRIA, leading since 2011 the SIERRA project-team, which is part of the Computer Science Department at Ecole Normale Supérieure, and a joint team between CNRS, ENS and INRIA. I completed my Ph.D. in Computer Science at U.C. Berkeley, working wi