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 in the new context of deep learning.
This session is organized by: Alexandre D’ASPREMONT, CNRS & DI ENS, Paris Julien MAIRAL, Inria, Université Grenoble Alpes Philippe RIGOLLET, MIT, Cambridge, USA Eric VANDEN-EIJNDEN, Courant Institute, USA
More information can be found on the session's website.
Published on September 4, 2024
Updated on September 4, 2024
You areYou wishSubmitShare the linkCopyCopiedClose the modal windowShare the URL of this pageI recommend:Consultable at this address:La page sera alors accessible depuis votre menu "Mes favoris".Stop videoPlay videoMutePlay audioChat: A question? Chatbot Robo FabricaMatomo traffic statisticsX (formerly Twitter)
