This was part of Mean-Field Models for Interacting Agents
Dimension reduction techniques for mean-field models with nonlocal interactions
Levon Nurbekyan, University of California, Los Angeles
Tuesday, November 2, 2021
Abstract: Mean-field models with nonlocal interactions are ubiquitous in applications. Often, these models are computationally challenging due to the cost of handling interaction terms. In this talk, I will present dimension reduction techniques to overcome these difficulties based on Fourier analytic and kernel methods in machine learning.