Francis Bach

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Jean PonceInria, Ecole Normale Superieure/PSL Research UniversityAdresse e-mail validée de inria.fr
Julien MairalInria - Univ. Grenoble AlpesAdresse e-mail validée de inria.fr
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Rodolphe JENATTONSenior machine learning scientist at Google Brain, BerlinAdresse e-mail validée de google.com
Guillaume ObozinskiSwiss Data Science CenterAdresse e-mail validée de epfl.ch
Jean-Philippe VertOwkin / PSL UniversityAdresse e-mail validée de owkin.com
Nicolas Le RouxMicrosoft Research, McGill, UdeMAdresse e-mail validée de le-roux.name
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaAdresse e-mail validée de cs.ubc.ca
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisAdresse e-mail validée de di.ens.fr
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaAdresse e-mail validée de iro.umontreal.ca
Kenji FukumizuThe Institute of Statistical MathematicsAdresse e-mail validée de ism.ac.jp
Andrew ZissermanUniversity of OxfordAdresse e-mail validée de robots.ox.ac.uk
Armand JoulinResearch scientist, FAIRAdresse e-mail validée de fb.com
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesAdresse e-mail validée de polytechnique.edu
Stéphane CanuProfessor of Data Science, INSA RouenAdresse e-mail validée de insa-rouen.fr
Zaid HarchaouiUniversity of WashingtonAdresse e-mail validée de uw.edu
Sylvain ArlotUniversité Paris-SaclayAdresse e-mail validée de universite-paris-saclay.fr
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Gert LanckrietProfessor, UCSDAdresse e-mail validée de eng.ucsd.edu

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Francis Bach

Inria - Ecole Normale Supérieure

Adresse e-mail validée de inria.fr - Page d'accueil

Machine Learning Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Online learning for matrix factorization and sparse coding. J Mairal, F Bach, J Ponce, G Sapiro Journal of Machine Learning Research 11 (1), 2010	3068	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	2638	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	2131	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	2069	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	1927	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	1434	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	1321	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1321	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1321	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	1261	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	991	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	945	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	945	2012
Optimization for Machine Learning F Bach, R Jenatton, J Mairal, G Obozinski, M Andersen, J Dahl, Z Liu, ... MIT Press, 2011	929*	2011

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