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Mathieu Dagréou
Mathieu Dagréou
PhD student at INRIA
Adresă de e-mail confirmată pe inria.fr - Pagina de pornire
Titlu
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A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
M Dagréou, P Ablin, S Vaiter, T Moreau
Advances in Neural Information Processing Systems 35, 26698-26710, 2022
662022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PA Bannier, B Charlier, ...
Advances in Neural Information Processing Systems 35, 25404-25421, 2022
292022
A lower bound and a near-optimal algorithm for bilevel empirical risk minimization
M Dagréou, T Moreau, S Vaiter, P Ablin
arXiv e-prints, arXiv: 2302.08766, 2023
32023
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
M Dagréou, T Moreau, S Vaiter, P Ablin
arXiv preprint arXiv:2302.08766, 2023
32023
How to compute Hessian-vector products?
M Dagréou, P Ablin, S Vaiter, T Moreau
The Third Blogpost Track at ICLR 2024, 2024
12024
Borne inférieure de compléxité et algorithme quasi-optimal pour la minimisation de risque empirique bi-niveaux
M Dagréou, T Moreau, S Vaiter, P Ablin
Algorithmes stochastiques et réduction de variance grâce à un nouveau cadre pour l’optimisation bi-niveaux
M DAGRÉOU, P ABLIN, S VAITER, T MOREAU
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Articole 1–7