Papers

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

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Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoit Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter (2022). Benchopt: Reproducible, efficient and collaborative optimization benchmarks. In Neurips.

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Mathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau (2022). A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. In NeurIPS (Selected for an oral).

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