Recovery of Ridge Functions in the Uniform Norm - Sebastian Mayer, Universität Bonn
Explore a 59-minute lecture on the recovery of ridge functions in the uniform norm, presented by Sebastian Mayer from Universität Bonn at the Alan Turing Institute. Delve into the mathematical foundations of approximating high-dimensional functions from limited information, a challenge prevalent in various scientific and engineering applications. Examine how modern approaches overcome the curse of dimensionality by employing structural assumptions such as low intrinsic dimensionality, partial separability, and sparse representations. Gain insights into the rich theory developed over the past decade for tackling complex processes dependent on numerous parameters. This talk is part of a workshop featuring eminent researchers in multivariate approximation theory, high-dimensional integration, non-parametric regression, and related fields.