On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds

Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro +1

Regularization, whether explicit in terms of a penalty in the loss or implicit in the choice of algorithm, is a cornerstone of modern machine learning. Indeed, controlling the comp…