Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ferdinand Genans5 · h 1
- Olivier Wintenberger5 · h 19
- Sylvain Le Corff4 · h 4
- Stanislas Strasman2 profiles3 · h 2
- Antoine Godichon-Baggioni2 · h 2
- Antonio Ocello2 · h 3
- Claire Boyer2 profiles2 · h 6
- François-Xavier Vialard2 · h 25
- Jordan Serres2 · h 3
- Pierre Gaillard2 profiles2 · h 4
- Vincent Lemaire2 · h 2
- Alexandre Delplanque1 · h 1
- Laboratoire de Probabilités et Modèles AléatoiresFR9 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR9 papers
- Sorbonne UniversitéFR9 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR2 papers
- École PolytechniqueFR2 papers
- Institut Universitaire de FranceFR2 papers
- Laboratoire de Mathématiques d'OrsayFR2 papers
- Laboratoire d'Informatique Gaspard-MongeFR2 papers
- Université Paris-SaclayFR2 papers
- Centre Inria de SaclayFR1 paper
- Centre Inria d'Université Côte d'AzurFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
3 papers · 1 filter
High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
We study nonparametric regression over Besov spaces from noisy observations under sub-exponential noise, aiming to achieve minimax-optimal guarantees on the integrated squared erro…
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard +1
We investigate the semi-discrete Optimal Transport (OT) problem, where a continuous source measure is transported to a discrete target measure , with particular attention to…
An analysis of the noise schedule for score-based generative models
Stanislas Strasman, Antonio Ocello, Claire Boyer +2
Score-based generative models (SGMs) aim at estimating a target data distribution by learning score functions using only noise-perturbed samples from the target.Recent literature h…