| 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 | 96 | 2018 |
| Learning step sizes for unfolded sparse coding P Ablin, T Moreau, M Massias, A Gramfort Advances in Neural Information Processing Systems, 13100-13110, 2019 | 70 | 2019 |
| Benchopt: Reproducible, efficient and collaborative optimization benchmarks T Moreau, M Massias, A Gramfort, P Ablin, PA Bannier, B Charlier, ... Advances in Neural Information Processing Systems 35, 25404-25421, 2022 | 41 | 2022 |
| Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning Q Bertrand, Q Klopfenstein, M Massias, M Blondel, S Vaiter, A Gramfort, ... Journal of Machine Learning Research 23 (149), 1-43, 2022 | 38 | 2022 |
| 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 | 31 | 2018 |
| Dual Extrapolation for Sparse Generalized Linear Models M Massias, S Vaiter, A Gramfort, J Salmon Journal of Machine Learning Research 21, 1-33, 2020 | 28 | 2020 |
| 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 | 26 | 2017 |
| 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 | 22 | 2019 |
| Anderson acceleration of coordinate descent Q Bertrand, M Massias International Conference on Artificial Intelligence and Statistics, 1288-1296, 2021 | 20 | 2021 |
| Iterative regularization for convex regularizers C Molinari, M Massias, L Rosasco, S Villa International Conference on Artificial Intelligence and Statistics, 1684-1692, 2021 | 19 | 2021 |
| Beyond l1: Faster and better sparse models with skglm Q Bertrand, Q Klopfenstein, PA Bannier, G Gidel, M Massias Advances in Neural Information Processing Systems 35, 38950-38965, 2022 | 17 | 2022 |
| Dimension-free convergence rates for gradient Langevin dynamics in RKHS B Muzellec, K Sato, M Massias, T Suzuki Conference on Learning Theory, 1356-1420, 2022 | 10 | 2022 |
| Support recovery and sup-norm convergence rates for sparse pivotal estimation M Massias, Q Bertrand, A Gramfort, J Salmon International Conference on Artificial Intelligence and Statistics, 2655-2665, 2020 | 8 | 2020 |
| Coordinate Descent for SLOPE J Larsson, Q Klopfenstein, M Massias, J Wallin International Conference on Artificial Intelligence and Statistics, 4802-4821, 2023 | 7 | 2023 |
| Iterative regularization for low complexity regularizers C Molinari, M Massias, L Rosasco, S Villa Numerische Mathematik 156 (2), 641-689, 2024 | 6 | 2024 |
| Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso C Pouliquen, P Gonçalves, M Massias, T Vayer arXiv preprint arXiv:2307.02130, 2023 | 2 | 2023 |
| Gap Safe screening rules for faster complex-valued multi-task group Lasso M Massias, J Salmon, A Gramfort SPARS, 2017 | 1 | 2017 |
| Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure C Pouliquen, M Massias, T Vayer arXiv preprint arXiv:2406.09023, 2024 | | 2024 |
| Sparse high dimensional regression in the presence of colored heteroscedastic noise: application to M/EEG source imaging M Massias Telecom Paristech, 2019 | | 2019 |
Alexandre GramfortMetaVerified email at meta.com
