Dagréou, Mathieu

3 publications

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

NeurIPS 2022 A Framework for Bilevel Optimization That Enables Stochastic and Global Variance Reduction Algorithms Mathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau

NeurIPS 2022 Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter