Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization

We consider the penalized distributionally robust optimization (DRO) problem with a closed, convex uncertainty set, a setting that encompasses learning using f-DRO and spectral/L-risk minimization.