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Celer: a Fast Solver for the Lasso with Dual Extrapolation

Mathurin Massias , Alexandre Gramfort , Joseph Salmon
ICML 2018 - 35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden. pp.3321-3330
Conference papers hal-01833398v1
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Dimension-free convergence rates for gradient Langevin dynamics in RKHS

Boris Muzellec , Kanji Sato , Mathurin Massias , Taiji Suzuki
COLT 2022 - 35th Annual Conference on Learning Theory, Jul 2022, London, United Kingdom
Conference papers hal-03920387v1
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Beyond L1: Faster and Better Sparse Models with skglm

Quentin Bertrand , Quentin Klopfenstein , Pierre-Antoine Bannier , Gauthier Gidel , Mathurin Massias
36th Conference on Neural Information Processing Systems (NeurIPS 2022), Nov 2022, New Orleans, United States
Conference papers hal-03819082v1
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Anderson acceleration of coordinate descent

Quentin Bertrand , Mathurin Massias
AISTATS 2021 - 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, San Diego / Virtual, United States
Conference papers hal-03019684v1
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Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso

Quentin Bertrand , Mathurin Massias , Alexandre Gramfort , Joseph Salmon
NeurIPS 2019 - Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Conference papers hal-02010014v3
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Exploiting regularity in sparse Generalized Linear Models

Mathurin Massias , Samuel Vaiter , Alexandre Gramfort , Joseph Salmon
SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations, Jul 2019, Toulouse, France
Conference papers hal-02288859v1
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Iterative regularization for convex regularizers

Cesare Molinari , Mathurin Massias , Lorenzo Rosasco , Silvia Villa
AISTATS 2021 - 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, San Diego / Virtual, United States
Conference papers hal-03526107v1
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Sparse high dimensional regression in the presence of colored heteroscedastic noise : application to M/EEG source imaging

Mathurin Massias
Statistics [math.ST]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLT053⟩
Theses tel-02533661v1
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Learning step sizes for unfolded sparse coding

Pierre Ablin , Thomas Moreau , Mathurin Massias , Alexandre Gramfort
NeurIPS 2019 - Advances in Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Conference papers hal-02140383v1
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Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Mathurin Massias , Olivier Fercoq , Alexandre Gramfort , Joseph Salmon
21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Apr 2018, Lanzarote, Spain
Conference papers hal-01812011v1
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Implicit differentiation for fast hyperparameter selection in non-smooth convex learning

Quentin Bertrand , Quentin Klopfenstein , Mathurin Massias , Mathieu Blondel , Samuel Vaiter , et al.
Journal of Machine Learning Research, 2022, 23 (149), pp.1-48
Journal articles hal-03228663v2
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Dual Extrapolation for Sparse Generalized Linear Models

Mathurin Massias , Samuel Vaiter , Alexandre Gramfort , Joseph Salmon
Journal of Machine Learning Research, 2020, 21 (234), pp.1-33
Journal articles hal-02263500v1
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Benchopt: Reproducible, efficient and collaborative optimization benchmarks

Thomas Moreau , Mathurin Massias , Alexandre Gramfort , Pierre Ablin , Pierre-Antoine Bannier , et al.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Conference papers hal-03830604v1
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Support recovery and sup-norm convergence rates for sparse pivotal estimation

Mathurin Massias , Quentin Bertrand , Alexandre Gramfort , Joseph Salmon
AISTATS2020, Aug 2020, Virtual, Italy
Conference papers hal-02444978v1