Mathurin Massias
15 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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Conferences
AISTATS (5)
NIPS (4)
JMLR (3)
COLT (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
convex optimization
(5)
coordinate descent
(4)
sparse regression
(3)
generalized linear model
(3)
proximal gradient descent
(3)
lasso regression
(2)
square-root lasso
(2)
anderson acceleration
(2)
proximal gradient
(2)
sparse model
(2)
screening rule
(2)
gradient descent
(1)
logistic regression
(1)
reproducing kernel hilbert space
(1)
sparse coding
(1)
multi-task learning
(1)
group lasso
(1)
sparse optimization
(1)
model fitting
(1)
dual 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
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning
JMLR 2022
Beyond L1: Faster and Better Sparse Models with skglm
NIPS 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
NIPS 2022
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
COLT 2022
Iterative regularization for convex regularizers
AISTATS 2021
Anderson acceleration of coordinate descent
AISTATS 2021
Support recovery and sup-norm convergence rates for sparse pivotal estimation
AISTATS 2020
Dual Extrapolation for Sparse GLMs
JMLR 2020
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
NIPS 2019
Learning step sizes for unfolded sparse coding
NIPS 2019
Celer: a Fast Solver for the Lasso with Dual Extrapolation
ICML 2018
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
AISTATS 2018