Empirical Risk Minimization in the Interpolating Regime with Application to Neural Network Learning

Nicole Mücke, Ingo Steinwart

A common strategy to train deep neural networks (DNNs) is to use very large architectures and to train them until they (almost) achieve zero training error. Empirically observed go…