2026
Distributionally Robust Optimization via Generative Ambiguity Modeling
ICLR 2026poster
This paper studies Distributionally Robust Optimization (DRO), a fundamental framework for enhancing the robustness and generalization of statistical learning and optimization. An effective ambiguity set for DRO must involve distributions that remain consistent to the nominal distribution while bein…