Francis Bach
Francis Bach
Inria - Ecole Normale Supérieure
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НазваниеПроцитированоГод
Online learning for matrix factorization and sparse coding
J Mairal, F Bach, J Ponce, G Sapiro
Journal of Machine Learning Research 11 (Jan), 19-60, 2010
21262010
Kernel independent component analysis
FR Bach, MI Jordan
Journal of machine learning research 3 (Jul), 1-48, 2002
18352002
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
16802009
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
16482004
SimpleMKL
A Rakotomamonjy, FR Bach, S Canu, Y Grandvalet
Journal of Machine Learning Research 9 (Nov), 2491-2521, 2008
13792008
Non-local sparse models for image restoration
J Mairal, F Bach, J Ponce, G Sapiro, A Zisserman
Computer Vision, 2009 IEEE 12th International Conference on, 2272-2279, 2009
12752009
Online learning for latent dirichlet allocation
M Hoffman, FR Bach, DM Blei
advances in neural information processing systems, 856-864, 2010
11292010
Supervised dictionary learning
J Mairal, J Ponce, G Sapiro, A Zisserman, FR Bach
Advances in neural information processing systems, 1033-1040, 2009
10542009
Learning mid-level features for recognition
YL Boureau, F Bach, Y LeCun, J Ponce
IEEE, 2010
10312010
Discriminative learned dictionaries for local image analysis
J Mairal, F Bach, J Ponce, G Sapiro, A Zisserman
MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS APPLICATIONS, 2008
8202008
Optimization with sparsity-inducing penalties
F Bach, R Jenatton, J Mairal, G Obozinski
Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012
7432012
Task-driven dictionary learning
J Mairal, F Bach, J Ponce
IEEE transactions on pattern analysis and machine intelligence 34 (4), 791-804, 2012
7152012
Consistency of the group lasso and multiple kernel learning
FR Bach
Journal of Machine Learning Research 9 (Jun), 1179-1225, 2008
6912008
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, 1646-1654, 2014
5992014
Minimizing finite sums with the stochastic average gradient
M Schmidt, N Le Roux, F Bach
Mathematical Programming 162 (1-2), 83-112, 2017
5072017
Learning spectral clustering
FR Bach, MI Jordan
Advances in neural information processing systems, 305-312, 2004
4862004
Structured variable selection with sparsity-inducing norms
R Jenatton, JY Audibert, F Bach
Journal of Machine Learning Research 12 (Oct), 2777-2824, 2011
4722011
A stochastic gradient method with an exponential convergence _rate for finite training sets
NL Roux, M Schmidt, FR Bach
Advances in neural information processing systems, 2663-2671, 2012
4502012
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
K Fukumizu, FR Bach, MI Jordan
Journal of Machine Learning Research 5 (Jan), 73-99, 2004
4462004
Discriminative clustering for image co-segmentation
A Joulin, F Bach, J Ponce
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
4012010
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