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)

A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. - Mathieu Dagréou; Pierre Ablin; Samuel Vaiter; Thomas Moreau 001 (NeurIPS, 2022)

A Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. - Mathieu Dagréou; Thomas Moreau 001; Samuel Vaiter; Pierre Ablin (CoRR, 2023)

A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. - Mathieu Dagréou; Thomas Moreau 001; Samuel Vaiter; Pierre Ablin (AISTATS, 2024)

Contributions to stochastic bilevel optimization. (Contributions à l'optimisation bi-niveaux stochastique). - Mathieu Dagréou (2024)