Implicit differentiation of Lasso-type models for hyperparameter optimization. - Quentin Bertrand; Quentin Klopfenstein; Mathieu Blondel; Samuel Vaiter; Alexandre Gramfort; Joseph Salmon (ICML, 2020)

Model identification and local linear convergence of coordinate descent. - Quentin Klopfenstein; Quentin Bertrand; Alexandre Gramfort; Joseph Salmon; Samuel Vaiter (CoRR, 2020)

Linear support vector regression with linear constraints. - Quentin Klopfenstein; Samuel Vaiter (Mach. Learn., 2021)

Non-smooth optimization for the estimation of cellular immune components in a tumoral environment. (Optimisation non-lisse pour l'estimation de composants immunitaires cellulaires dans un environnement tumoral). - Quentin Klopfenstein (2021)

Benchopt: Reproducible, efficient and collaborative optimization benchmarks. - Thomas Moreau 001; 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 002; et al. (NeurIPS, 2022)

Beyond L1: Faster and Better Sparse Models with skglm. - Quentin Bertrand; Quentin Klopfenstein; Pierre-Antoine Bannier; Gauthier Gidel; Mathurin Massias (NeurIPS, 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 (J. Mach. Learn. Res., 2022)

Coordinate Descent for SLOPE. - Johan Larsson 002; Quentin Klopfenstein; Mathurin Massias; Jonas Wallin (AISTATS, 2023)

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. - Jean Ogier du Terrail; Quentin Klopfenstein; Honghao Li; Imke Mayer; Nicolas Loiseau; Mohammad Hallal; Félix Balazard; Mathieu Andreux (CoRR, 2023)

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Cyril Brzenczek; Quentin Klopfenstein; Tom Hähnel; Holger Fröhlich; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; Giuseppe Arena; Michele Bassis; et al. (npj Digit. Medicine, 2024)

Local linear convergence of proximal coordinate descent algorithm. - Quentin Klopfenstein; Quentin Bertrand; Alexandre Gramfort; Joseph Salmon; Samuel Vaiter (Optim. Lett., 2024)