Regularized least squares learning with heavy-tailed noise is minimax optimal

TL;DR

This paper examines the performance of ridge regression in reproducing kernel Hilbert spaces in the presence of noise that exhibits a finite number of higher moments…

Opening excerpt from the authors’ abstract. source