Mathieu Dagréou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Variance Reduction

Stability Of Feature Selection

Learning Algorithm

Computationally Expensive

Top Venues

Publications

Mathieu Dagréou, Thomas Moreau, Samuel Vaiter, Pierre Ablin
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. AISTATS (2024)
Mathieu Dagréou, Thomas Moreau, Samuel Vaiter, Pierre Ablin
A Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. CoRR (2023)
Thomas Moreau, 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, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR (2022)
Mathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. CoRR (2022)
Mathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. NeurIPS (2022)
Thomas Moreau, 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, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS (2022)