2016
Adversarial Multiclass Classification: A Risk Minimization Perspective
NeurIPS 2016poster
Recently proposed adversarial classification methods have shown promising results for cost sensitive and multivariate losses. In contrast with empirical risk minimization (ERM) methods, which use convex surrogate losses to approximate the desired non-convex target loss function, adversarial methods…