Mathurin Massias

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Convergence Rate

Iterative Regularization

Top Venues

J. Mach. Learn. Res.

Publications

Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Iterative regularization for low complexity regularizers. Numerische Mathematik 156 (2) (2024)
Can Pouliquen, Mathurin Massias, Titouan Vayer
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure. CoRR (2024)
Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso. CoRR (2023)
Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin
Coordinate Descent for SLOPE. AISTATS (2023)
Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. COLT (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR (2022)
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Beyond L1: Faster and Better Sparse Models with skglm. CoRR (2022)
Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning. J. Mach. Learn. Res. 23 (2022)
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Beyond L1: Faster and Better Sparse Models with skglm. NeurIPS (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS (2022)
Quentin Bertrand, Mathurin Massias
Anderson acceleration of coordinate descent. AISTATS (2021)
Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning. CoRR (2021)
Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Iterative regularization for convex regularizers. AISTATS (2021)
Quentin Bertrand, Mathurin Massias
Anderson acceleration of coordinate descent. CoRR (2020)
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Support recovery and sup-norm convergence rates for sparse pivotal estimation. CoRR (2020)
Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki
Dimension-free convergence rates for gradient Langevin dynamics in RKHS. CoRR (2020)
Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa
Implicit regularization for convex regularizers. CoRR (2020)
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Support recovery and sup-norm convergence rates for sparse pivotal estimation. AISTATS (2020)
Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Dual Extrapolation for Sparse Generalized Linear Models. CoRR (2019)
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise. CoRR (2019)
Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
Learning step sizes for unfolded sparse coding. CoRR (2019)
Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
Learning step sizes for unfolded sparse coding. NeurIPS (2019)
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso. NeurIPS (2019)
Mathurin Massias, Joseph Salmon, Alexandre Gramfort
Celer: a Fast Solver for the Lasso with Dual Extrapolation. ICML (2018)
Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. AISTATS (2018)
Mathurin Massias, Alexandre Gramfort, Joseph Salmon
From safe screening rules to working sets for faster Lasso-type solvers. CoRR (2017)