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.
Registration is free and open to January 20, 2022.
Organised by: Gilles Blanchard (LMO) and Charles Soussen (L2S)
Rémi Flamary (CMAP/Ecole polytechnique)
Isabelle Guyon (LISN/INRIA Tau)
Olga Klopp (CREST/ESSEC business school)
Thomas Moreau (INRIA Paris-Saclay)
Pablo Piantanida (L2S/CentraleSupélec)
Florence Tupin (LTCI/Télécom Paris)