Mean-field approaches in Machine Learning and Statistics

Organizers

• Marc Hoffmann (University of Paris-Dauphine)
• Francis Bach (INRIA and Ecole Normale Superieure)

Description

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.