Francis Bach
Researcher
Computer Science department
Ecole Normale Superieure (ENS)
France
Biography
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. Since 2016, I am an adjunct Professor at Ecole Normale Supérieure. I completed my Ph.D. in Computer Science at U.C. Berkeley, working with Professor Michael Jordan, and spent two years in the Mathematical Morphology group at Ecole des Mines de Paris, I then joined the WILLOW project-team at INRIA/Ecole Normale Superieure/CNRS from 2007 to 2010. From 2009 to 2014, I was running the ERC project SIERRA. I am interested in statistical machine learning, and especially in graphical models, sparse methods, kernel-based learning, convex optimization vision and signal processing.
Research Interest
I am interested in statistical machine learning, and especially in graphical models, sparse methods, kernel-based learning, convex optimization vision and signal processing.
Publications
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A. Kundu, F. Bach, C. Bhattacharyya. Convex optimization over intersection of simple sets: improved convergence rate guarantees via an exact penalty approach. Technical Report, Arxiv-1710.06465, 2017.
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R. M. Gower, N. Le Roux, F. Bach. Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. Technical Report, Arxiv-1710.07462, 2017.
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A. Dieuleveut, A. Durmus, F. Bach. Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains. Technical report, HAL-01565514, 2017.
