Francis Bach 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	66311	30619
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Jean PonceEcole Normale Superieure/PSL Research University在 ens.fr 的电子邮件经过验证
Julien MairalInria - Univ. Grenoble Alpes在 inria.fr 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Rodolphe JENATTONCTO at Bioptimus在 bioptimus.com 的电子邮件经过验证
Guillaume ObozinskiSwiss Data Science Center, EPFL & ETH Zurich在 epfl.ch 的电子邮件经过验证
Jean-Philippe VertOwkin / PSL University在 owkin.com 的电子邮件经过验证
Nicolas Le RouxMicrosoft Research, McGill, UdeM在 le-roux.name 的电子邮件经过验证
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, Paris在 di.ens.fr 的电子邮件经过验证
Mark SchmidtAssociate Professor of Computer Science, University of British Columbia在 cs.ubc.ca 的电子邮件经过验证
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / Mila在 iro.umontreal.ca 的电子邮件经过验证
Kenji FukumizuThe Institute of Statistical Mathematics在 ism.ac.jp 的电子邮件经过验证
Andrew ZissermanUniversity of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
Armand JoulinGoogle DeepMind在 google.com 的电子邮件经过验证
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des Sciences在 polytechnique.edu 的电子邮件经过验证
Stéphane CanuProfessor of Data Science, INSA Rouen在 insa-rouen.fr 的电子邮件经过验证
Zaid HarchaouiUniversity of Washington在 uw.edu 的电子邮件经过验证
Sylvain ArlotUniversité Paris-Saclay在 universite-paris-saclay.fr 的电子邮件经过验证
David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Gert LanckrietProfessor, UCSD在 eng.ucsd.edu 的电子邮件经过验证

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Francis Bach

Inria - Ecole Normale Supérieure

在 inria.fr 的电子邮件经过验证 - 首页

Machine Learning Optimization


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Online learning for matrix factorization and sparse coding. J Mairal, F Bach, J Ponce, G Sapiro Journal of Machine Learning Research 11 (1), 2010	3114	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	2716	2009
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2541	2002
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2254	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	2136	2009
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	2117	2014
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	1976	2004
SimpleMKL A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9, 2491-2521, 2008	1852	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	1451	2010
Supervised dictionary learning J Mairal, J Ponce, G Sapiro, A Zisserman, F Bach Advances in neural information processing systems 21, 2008	1446	2008
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1414	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1414	2017
Minimizing finite sums with the stochastic average gradient M Schmidt, N Le Roux, F Bach Mathematical Programming 162, 83-112, 2017	1414	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	1325	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	1056	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	1056	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	1056	2012
Task-driven dictionary learning J Mairal, F Bach, J Ponce IEEE transactions on pattern analysis and machine intelligence 34 (4), 791-804, 2011	1040	2011
Optimization for Machine Learning F Bach, R Jenatton, J Mairal, G Obozinski, M Andersen, J Dahl, Z Liu, ... MIT Press, 2011	995*	2011
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	986	2008

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