Mathurin Massias
Mathurin Massias
UniversitÓ degli studi di Genova
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Celer: a Fast Solver for the Lasso with Dual Extrapolation
M Massias, A Gramfort, J Salmon
Proceedings of the 35th International Conference on Machine Learning, 2018
30*2018
From safe screening rules to working sets for faster lasso-type solvers
M Massias, A Gramfort, J Salmon
10th NIPS Workshop on Optimization for Machine Learning, 2017
192017
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
M Massias, O Fercoq, A Gramfort, J Salmon
International Conference on Artificial Intelligence and Statistics, 998-1007, 2018
132018
Learning step sizes for unfolded sparse coding
P Ablin, T Moreau, M Massias, A Gramfort
Advances in Neural Information Processing Systems, 13100-13110, 2019
92019
Dual Extrapolation for Sparse Generalized Linear Models
M Massias, S Vaiter, A Gramfort, J Salmon
arXiv preprint arXiv:1907.05830, 2019
42019
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
Q Bertrand, M Massias, A Gramfort, J Salmon
Advances in Neural Information Processing Systems, 3959-3970, 2019
32019
Gap Safe screening rules for faster complex-valued multi-task group Lasso
M Massias, J Salmon, A Gramfort
SPARS, 2017
12017
Implicit regularization for convex regularizers
C Molinari, M Massias, L Rosasco, S Villa
arXiv preprint arXiv:2006.09859, 2020
2020
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
B Muzellec, K Sato, M Massias, T Suzuki
arXiv preprint arXiv:2003.00306, 2020
2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation
M Massias, Q Bertrand, A Gramfort, J Salmon
arXiv preprint arXiv:2001.05401, 2020
2020
Sparse high dimensional regression in the presence of colored heteroscedastic noise: application to M/EEG source imaging
M Massias
Telecom Paristech, 2019
2019
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Articles 1–11