147 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre de Recherche en Mathématiques de la DécisionFR19 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Institut national de recherche en sciences et technologies du numériqueFR11 papers
- Université Paris Dauphine-PSLFR7 papers
- Département de mathématiques et applicationsFR6 papers
- École Normale Supérieure - PSLFR4 papers
- Laboratoire d'Informatique Gaspard-MongeFR4 papers
- Université Gustave EiffelFR4 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR3 papers
- École PolytechniqueFR3 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR3 papers
- Kyoto UniversityJP2 papers
5 papers · 1 filter
A geometric Laplace method
Flavien Léger, François-Xavier Vialard
A classical tool for approximating integrals is the Laplace method. The first-order, as well as the higher-order Laplace formula is most often written in coordinates without any ge…
From geodesic extrapolation to a variational BDF2 scheme for Wasserstein gradient flows
Thomas Gallouët, Andrea Natale, Gabriele Todeschi
We introduce a time discretization for Wasserstein gradient flows based on the classical Backward Differentiation Formula of order two. The main building block of the scheme is the…
Quantitative Stability of Barycenters in the Wasserstein Space
Guillaume Carlier, Alex Delalande, Quentin Merigot
Wasserstein barycenters define averages of probability measures in a geometrically meaningful way. Their use is increasingly popular in applied fields, such as image, geometry or l…
Mass concentration in rescaled first order integral functionals
Antonin Monteil, Paul Pegon
We consider first order local minimization problems of the form under a mass constraint . We prove that the minimal…
Is interpolation benign for random forest regression?
Ludovic Arnould, Claire Boyer, Erwan Scornet
Statistical wisdom suggests that very complex models, interpolating training data, will be poor at predicting unseen examples.Yet, this aphorism has been recently challenged by the…