Francis Bach

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Jean PonceEcole Normale Superieure/PSL Research UniversityVerified email at ens.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 JENATTONCTO at BioptimusVerified email at bioptimus.com
Guillaume ObozinskiSwiss Data Science Center, EPFL & ETH ZurichVerified email at epfl.ch
Jean-Philippe VertOwkin / PSL UniversityVerified email at owkin.com
Nicolas Le RouxMcGill, UdeMVerified email at le-roux.name
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisVerified email at di.ens.fr
Mark SchmidtProfessor 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
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Armand JoulinGoogle DeepMindVerified email at google.com
Stéphane CanuProfessor of Data Science, INSA Rouen NormandyVerified email at insa-rouen.fr
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Sylvain ArlotUniversité Paris-SaclayVerified email at universite-paris-saclay.fr
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	3147	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	2790	2009
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2592	2002
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2335	2010
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	2271	2014
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	2174	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	1998	2004
SimpleMKL A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9, 2491-2521, 2008	1866	2008
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1493	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1493	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1493	2017
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	1464	2010
Supervised dictionary learning J Mairal, J Ponce, G Sapiro, A Zisserman, F Bach Advances in neural information processing systems 21, 2008	1459	2008
Optimization with sparsity-inducing penalties F Bach, R Jenatton, J Mairal, G Obozinski Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012	1365	2012
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	1109	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, 2012	1109	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	1109	2012
Task-driven dictionary learning J Mairal, F Bach, J Ponce IEEE transactions on pattern analysis and machine intelligence 34 (4), 791-804, 2011	1051	2011
Optimization for Machine Learning F Bach, R Jenatton, J Mairal, G Obozinski, M Andersen, J Dahl, Z Liu, ... MIT Press, 2011	1046*	2011
On Lazy Training in Differentiable Programming L Chizat, E Oyallon, F Bach Advances in Neural Information Processing Systems 32, 2937-2947, 2019	1032	2019

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