Optimization and Statistical Learning => Cancelled
January 17, 2021 - January 22, 2021
This session will focus on recent advances in statistics, machine learning and mathematical optimization, with a special emphasis on their synergies with physical sciences, on both theoretical aspects and computational aspects in large-scale settings.
This Session is organized by:

Alexandre d'ASPREMONT, CNRS & DI ENS, Paris, France
Zaid HARCHAOUI, University of Washington, Seattle, USA
Julien MAIRAL, Inria, Université Grenoble Alpes, France
Jérôme MALICK, CNRS, Université Grenoble Alpes, France
Philippe RIGOLLET, MIT, Cambridge, USA

More information can be found on the Session's Website.
Published on  October 8, 2020
Updated on December 18, 2020