Rodolphe JENATTON
Rodolphe JENATTON
Senior machine learning scientist at Google Brain, Berlin
Verified email at google.com - Homepage
TitleCited byYear
Optimization with sparsity-inducing penalties
F Bach, R Jenatton, J Mairal, G Obozinski
Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012
8382012
Structured variable selection with sparsity-inducing norms
R Jenatton, JY Audibert, F Bach
Journal of Machine Learning Research 12, 2777-2824, 2011
5152011
Proximal methods for sparse hierarchical dictionary learning.
R Jenatton, J Mairal, G Obozinski, FR Bach
ICML 1, 2, 2010
3892010
Convex optimization with sparsity-inducing norms
F Bach, R Jenatton, J Mairal, G Obozinski
Optimization for Machine Learning 5, 19-53, 2011
3202011
Proximal methods for hierarchical sparse coding
R Jenatton, J Mairal, G Obozinski, F Bach
Journal of Machine Learning Research, 2297-2334, 2011
3152011
A latent factor model for highly multi-relational data
R Jenatton, NL Roux, A Bordes, GR Obozinski
Advances in Neural Information Processing Systems, 3167-3175, 2012
3022012
Structured sparse principal component analysis
R Jenatton, G Obozinski, F Bach
International Conference on Artificial Intelligence and Statistics (AISTATS), 2010
2892010
Structured sparsity through convex optimization
F Bach, R Jenatton, J Mairal, G Obozinski
Statistical Science 27 (4), 450-468, 2012
2602012
Network flow algorithms for structured sparsity
J Mairal, R Jenatton, G Obozinski, F Bach
Advances in Neural Information Processing Systems (NIPS), 2010
1632010
Convex and network flow optimization for structured sparsity
J Mairal, R Jenatton, G Obozinski, F Bach
Journal of Machine Learning Research 12 (Sep), 2681-2720, 2011
802011
Convex relaxations for permutation problems
F Fogel, R Jenatton, F Bach, A d'Aspremont
Advances in Neural Information Processing Systems, 1016-1024, 2013
762013
Sample complexity of dictionary learning and other matrix factorizations
R Gribonval, R Jenatton, F Bach, M Kleinsteuber, M Seibert
IEEE Transactions on Information Theory 61 (6), 3469-3486, 2015
662015
Multiscale mining of fMRI data with hierarchical structured sparsity
R Jenatton, A Gramfort, V Michel, G Obozinski, E Eger, F Bach, B Thirion
SIAM Journal on Imaging Sciences 5 (3), 835-856, 2012
652012
Sparse and spurious: dictionary learning with noise and outliers
R Gribonval, R Jenatton, F Bach
IEEE Transactions on Information Theory 61 (11), 6298-6319, 2015
592015
Local stability and robustness of sparse dictionary learning in the presence of noise
R Jenatton, R Gribonval, F Bach
arXiv preprint arXiv:1210.0685, 2012
432012
Multi-scale mining of fMRI data with hierarchical structured sparsity
R Jenatton, A Gramfort, V Michel, G Obozinski, F Bach, B Thirion
2011 International Workshop on Pattern Recognition in NeuroImaging, 69-72, 2011
362011
Adaptive algorithms for online convex optimization with long-term constraints
R Jenatton, J Huang, C Archambeau
arXiv preprint arXiv:1512.07422, 2015
322015
Bayesian optimization with tree-structured dependencies
R Jenatton, C Archambeau, J González, M Seeger
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
212017
Learning hierarchical and topographic dictionaries with structured sparsity
J Mairal, R Jenatton, G Obozinski, F Bach
Wavelets and Sparsity XIV 8138, 81381P, 2011
202011
Sparse modeling software
J Mairal, F Bach, J Ponce, G Sapiro, R Jenatton, G Obozinski
192011
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Articles 1–20