DRO regularizers are worst-case sensitivities of expected cost, supplying a robustness measure that guides uncertainty-set selection and traces performance-robustness frontiers.
Optimistic distributionally robust optimization for nonparamet- ric likelihood approximation.Advances in Neural Information Processing Systems, 32: 15872 – 15882, 2019
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Robustness Measures in Distributionally Robust Optimization
DRO regularizers are worst-case sensitivities of expected cost, supplying a robustness measure that guides uncertainty-set selection and traces performance-robustness frontiers.