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 VertOwkin / PSL UniversityVerified email at owkin.com
Nicolas Le RouxMicrosoft Research, McGill, UdeMVerified email at le-roux.name
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisVerified email at di.ens.fr
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
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Armand JoulinResearch scientist, FAIRVerified email at fb.com
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Stéphane CanuProfessor of Data Science, INSA RouenVerified email at insa-rouen.fr
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Sylvain ArlotUniversité Paris-SaclayVerified email at universite-paris-saclay.fr
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu

Francis Bach

Inria - Ecole Normale Supérieure

Verified email at inria.fr - Homepage

Machine Learning Optimization


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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	3067	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	2637	2009
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2454	2002
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2127	2010
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	2068	2009
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	1942	2004
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	1928	2014
SimpleMKL A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9, 2491-2521, 2008	1825	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	1433	2010
Supervised dictionary learning J Mairal, J Ponce, G Sapiro, A Zisserman, F Bach Advances in neural information processing systems 21, 2008	1419	2008
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1322	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1322	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1322	2017
Optimization with sparsity-inducing penalties F Bach, R Jenatton, J Mairal, G Obozinski Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012	1260	2012
Task-driven dictionary learning J Mairal, F Bach, J Ponce IEEE transactions on pattern analysis and machine intelligence 34 (4), 791-804, 2011	1018	2011
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	992	2013
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	977	2008
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, 2012	946	2012
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	946	2012
Optimization for Machine Learning F Bach, R Jenatton, J Mairal, G Obozinski, M Andersen, J Dahl, Z Liu, ... MIT Press, 2011	928*	2011

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