Francis Bach

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Jean PonceInria, Ecole Normale Superieure/PSL Research UniversityVerified email at inria.fr
Julien MairalInria - Univ. Grenoble AlpesVerified email at inria.fr
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Rodolphe JENATTONSenior machine learning scientist at Google Brain, BerlinVerified email at google.com
Guillaume ObozinskiSwiss Data Science CenterVerified email at epfl.ch
Jean-Philippe VertGoogle Brain / Mines ParisTechVerified email at mines-paristech.fr
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisVerified email at di.ens.fr
Nicolas Le RouxMcGill, UdeMVerified email at le-roux.name
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaVerified email at iro.umontreal.ca
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Armand JoulinResearch Scientist, Facebook AI ResearchVerified email at fb.com
Stéphane CanuProfessor of Data Science, INSA RouenVerified email at insa-rouen.fr
Sylvain ArlotUniversité Paris-SaclayVerified email at universite-paris-saclay.fr
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu

Francis Bach

Inria - Ecole Normale Supérieure

Verified email at inria.fr - Homepage

Machine Learning


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Online learning for matrix factorization and sparse coding. J Mairal, F Bach, J Ponce, G Sapiro Journal of Machine Learning Research 11 (1), 2010	2834	2010
Online dictionary learning for sparse coding J Mairal, F Bach, J Ponce, G Sapiro Proceedings of the 26th annual international conference on machine learning …, 2009	2308	2009
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2238	2002
Multiple kernel learning, conic duality, and the SMO algorithm FR Bach, GRG Lanckriet, MI Jordan Proceedings of the twenty-first international conference on Machine learning, 6, 2004	1854	2004
Non-local sparse models for image restoration J Mairal, F Bach, J Ponce, G Sapiro, A Zisserman 2009 IEEE 12th International Conference on Computer Vision (ICCV), 2272-2279, 2009	1789	2009
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 856-864, 2010	1763	2010
SimpleMKL A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9, 2491-2521, 2008	1681	2008
SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives A Defazio, F Bach, S Lacoste-Julien Advances in neural information processing systems 27, 1646-1654, 2014	1419	2014
Supervised dictionary learning J Mairal, F Bach, J Ponce, G Sapiro, A Zisserman arXiv preprint arXiv:0809.3083, 2008	1327	2008
Learning mid-level features for recognition YL Boureau, F Bach, Y LeCun, J Ponce 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	1323	2010
Optimization with sparsity-inducing penalties F Bach, R Jenatton, J Mairal, G Obozinski Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012	1078	2012
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162 (1-2), 83-112, 2017	1042	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162 (1-2), 83-112, 2017	1042	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162 (1-2), 83-112, 2017	1042	2017
Discriminative learned dictionaries for local image analysis J Mairal, F Bach, J Ponce, G Sapiro, A Zisserman 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	951	2008
Task-driven dictionary learning J Mairal, F Bach, J Ponce IEEE transactions on pattern analysis and machine intelligence 34 (4), 791-804, 2011	935	2011
Consistency of the group lasso and multiple kernel learning. FR Bach Journal of Machine Learning Research 9 (6), 2008	845	2008
A stochastic gradient method with an exponential convergence rate for finite training sets N Le Roux, MW Schmidt, FR Bach Advances in Neural Information Processing Systems 25, 3-6, 2013	786	2013
A stochastic gradient method with an exponential convergence _rate for finite training sets N Roux, M Schmidt, F Bach Advances in neural information processing systems 25, 2663-2671, 2012	780	2012
Optimization for Machine Learning F Bach, R Jenatton, J Mairal, G Obozinski, M Andersen, J Dahl, Z Liu, ... MIT Press, 2011	627*	2011

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