The aim of this workshop is to bring together mathematicians and computer scientists around some talks on recent results from statistics, machine learning, and more generally data science research. Various topics in machine learning, optimization, deep learning, optimal transport, inverse problems, statistics, and problems of scientific reproducibility will be presented. This workshop is particularly intended for doctoral and post-doctoral researchers.
Registration is free and open until March 1, 2023.
Gilles Blanchard (LMO/Université Paris-Saclay)
Florence Tupin (LTCI/Télécom Paris)
Isabelle Bloch (LIP6/Sorbonne Université - LTCI/Télécom Paris)
Antoine Cornuéjols (MIA/AgroParisTech)
Aymeric Dieuleveut (CMAP/École polytechnique)
Elisabeth Gassiat (LMO/Université Paris-Saclay)
Mohammed Nabil El Korso (L2S/CentraleSupélec)
Mathilde Mougeot (ENSIIE & Centre Borelli/ENS Paris-Saclay)