Massias, Mathurin

16 publications

NeurIPS 2025 On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet

ICLR 2025 Schur's Positive-Definite Network: Deep Learning in the SPD Cone with Structure Can Pouliquen, Mathurin Massias, Titouan Vayer

MLOSS 2025 Skglm: Improving Scikit-Learn for Regularized Generalized Linear Models Badr Moufad, Pierre-Antoine Bannier, Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias

AISTATS 2023 Coordinate Descent for SLOPE Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin

NeurIPS 2022 Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cassio 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

NeurIPS 2022 Beyond L1: Faster and Better Sparse Models with Skglm Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias

COLT 2022 Dimension-Free Convergence Rates for Gradient Langevin Dynamics in RKHS Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki

JMLR 2022 Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon

AISTATS 2021 Anderson Acceleration of Coordinate Descent Quentin Bertrand, Mathurin Massias

AISTATS 2021 Iterative Regularization for Convex Regularizers Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa

JMLR 2020 Dual Extrapolation for Sparse GLMs Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon

AISTATS 2020 Support Recovery and Sup-Norm Convergence Rates for Sparse Pivotal Estimation Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon

NeurIPS 2019 Handling Correlated and Repeated Measurements with the Smoothed Multivariate Square-Root Lasso Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon

NeurIPS 2019 Learning Step Sizes for Unfolded Sparse Coding Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort

ICML 2018 Celer: A Fast Solver for the Lasso with Dual Extrapolation Mathurin Massias, Alexandre Gramfort, Joseph Salmon

AISTATS 2018 Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon