| 2025 | ICLR | Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure. | Can Pouliquen, Mathurin Massias, Titouan Vayer |
| 2023 | AISTATS | Coordinate Descent for SLOPE. | Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin |
| 2022 | COLT | Dimension-free convergence rates for gradient Langevin dynamics in RKHS. | Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki |
| 2021 | AISTATS | Anderson acceleration of coordinate descent. | Quentin Bertrand, Mathurin Massias |
| 2021 | AISTATS | Iterative regularization for convex regularizers. | Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa |
| 2020 | AISTATS | Support recovery and sup-norm convergence rates for sparse pivotal estimation. | Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon |
| 2018 | AISTATS | Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. | Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2018 | ICML | Celer: a Fast Solver for the Lasso with Dual Extrapolation. | Mathurin Massias, Joseph Salmon, Alexandre Gramfort |