Banner
Conference Videos | Workshop Videos | Overview | Program Highlights | Tutorials | Conference Sessions | Workshops | Publication Models Debate | Demonstrations | Mini Symposia | Accepted Papers | Dates | Committees
Francis  Bach
InstitutionINRIA - Ecole Normale Superieure
BioFrancis Bach is a researcher in the Willow INRIA project-team, in the Computer Science Department of Ecole Normale Supérieure, Paris, France. He graduated from Ecole Polytechnique, Palaiseau, France, in 1997, and earned his PhD in 2005 from the Computer Science division at the University of California, Berkeley. His research interests include machine learning, statistics, convex and combinatorial optimization, graphical models, kernel methods, sparse methods, signal processing and computer vision.
NIPS Events*
NIPS 2009WorkshopUnderstanding Multiple Kernel Learning Methods
NIPS 2009PosterData-driven calibration of linear estimators with minimal penalties
NIPS 2009PosterAsymptotically Optimal Regularization in Smooth Parametric Models
NIPS 2009TutorialSparse Methods for Machine Learning: Theory and Algorithms
NIPS 2008PosterSparse probabilistic projections
NIPS 2008PosterClustered Multi-Task Learning: A Convex Formulation
NIPS 2008SpotlightSparse probabilistic projections
NIPS 2008SpotlightClustered Multi-Task Learning: A Convex Formulation
NIPS 2008PosterExploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
NIPS 2008PosterSDL: Supervised Dictionary Learning
NIPS 2008PosterKernel Change-point Analysis
NIPS 2007SessionSession 2: Probabilistic Optimization
NIPS 2007PosterTesting for Homogeneity with Kernel Fisher Discriminant Analysis
NIPS 2007PosterDIFFRAC: a discriminative and flexible framework for clustering
NIPS 2006PosterActive learning for misspecified generalized linear models

*Since 2006