Mean-field approaches in Machine Learning and Statistics
Part of the long program on Distributed Solutions to Complex Societal Problems
October 18-21, 2021
- Marc Hoffmann (University of Paris-Dauphine)
- Francis Bach (INRIA and Ecole Normale Superieure)
The aim of this workshop is to gather specialists from machine learning and statistics to applied probability and analysis who share a common interest in mean-field models. Potential applications range from mean-field games to stochastic algorithms and simulations, neural networks and frequentist or Bayesian statistical inference for interacting systems.