2025
Revisiting Large-Scale Non-convex Distributionally Robust Optimization
ICLR 2025poster
Distributionally robust optimization (DRO) is a powerful technique to train robust machine learning models that perform well under distribution shifts. Compared with empirical risk minimization (ERM), DRO optimizes the expected loss under the worst-case distribution in an uncertainty set of distribu…