Overview

[ Français ]

The thematic activity focuses on mathematical challenges of machine learning. The spectacular success of machine learning in a wide range of applications opens many exciting theoretical challenges in a number of mathematical fields, including probability, statistics, combinatorics, optimization, and geometry. The CRM will bring together researchers of machine learning and mathematics to discuss these problems. The principal topics include combinatorial statistics, online learning, and deep neural networks.

The main activities include a workshop on " Combinatorial Statistics " and another one on " Modern Challenges in Learning Theory, " as well as regular seminars given by the invited researchers and scholars-in-residence.

Program

Week 1 (Monday April 16-Friday April 20)
Opening week.
Opening keynote lecture on Monday April 16 with Yoshua Bengio.
Arrival of the Simons Foundations researchers in residence.

Week 2 (Monday April 23-Thursday April 26)
Workshop on Learning Theory
24 invited speakers.
Open to all scholars. Seats are limited.

Week 3 (Monday April 30-Friday May 4)
Workshop on Combinatorial Statistics (by invitation only).
One minicourse by Yuval Peres (Microsoft Research).

Week 4 (Monday May 7-Friday May 11)
Closing keynote lecture on Friday May 11.