Unification and Optimization of Robust Supervised Learning

Robust learning methods such as distributionally robust optimization, vicinal risk minimization, Mixup, and label smoothing address different sources of uncertainty, including distribution shift, finite-sample effects, and label uncertainty. In practice, however, several such sources may occur simul