Mathurin Massias

15 papers · 2018–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+6 more ↓

🗺️ Taxonomy Completionist (19) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🔬 Deep Specialist (10) 👥 Mega-Team · Squad 🏆 Keyword Champion (2) 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (64) 💎 Century Club · Bronze

Venues

AISTATS (5) NeurIPS (4) JMLR (3) COLT (1) ICLR (1) ICML (1)

Top co-authors

Alexandre Gramfort (8) Joseph Salmon (7) Quentin Bertrand (6) Quentin Klopfenstein (5) Pierre-Antoine Bannier (3) Samuel Vaiter (3) Pierre Ablin (2) Johan Larsson (2) Badr MOUFAD (2) Thomas Moreau (2)

Research topics

Machine Learning (15) Optimization & Theory (12) Core Methods (9) Mathematics & Optimization (5) Optimization (5) Deep Learning (2) Learning Types (2) Application Areas (1) Architectures (1) Bayesian & Probabilistic (1) Techniques (1)

Keywords

convex optimization (5) coordinate descent (4) proximal gradient descent (3) generalized linear model (3) sparse regression (3) anderson acceleration (2) lasso regression (2) sparse model (2) screening rule (2) square-root lasso (2) proximal gradient (2) markov chain monte carlo (1) sparse coding (1) reproducing kernel hilbert space (1) group lasso (1) deep learning (1) reproducible research (1) model fitting (1) regularized regression (1) hyperparameter optimization (1)

Papers

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure ICLR 2025 skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025 Coordinate Descent for SLOPE AISTATS 2023 Benchopt: Reproducible, efficient and collaborative optimization benchmarks NeurIPS 2022 Beyond L1: Faster and Better Sparse Models with skglm NeurIPS 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022 Anderson acceleration of coordinate descent AISTATS 2021 Iterative regularization for convex regularizers AISTATS 2021 Dual Extrapolation for Sparse GLMs JMLR 2020 Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020 Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso NeurIPS 2019 Learning step sizes for unfolded sparse coding NeurIPS 2019 Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018 Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression AISTATS 2018