2021
Finding Relevant Information via a Discrete Fourier Expansion
ICML 2021spotlight
A fundamental obstacle in learning information from data is the presence of nonlinear redundancies and dependencies in it. To address this, we propose a Fourier-based approach to extract relevant information in the supervised setting. We first develop a novel Fourier expansion for functions of corre…