A Smoothed Discrepancy Principle for Random Feature Methods and Neural Networks

Mike Nguyen, Nicole Mücke

We study data-driven early stopping for spectral regularisation methods in the classical non-parametric regression setting. Building on the discrepancy principle, we propose a mult…