Calibrating Ambiguity Set via Diagnostic Transport for Distributionally Robust Optimization
The Diagnostic-Transport DRO framework adapts ambiguity sets using held-out calibration data to correct model misspecification. It uses a diagnostic transport map derived from conditional probability integral transform cumulative distribution functions to reshape the ambiguity set, eliminating nonvanishing robustness floors that occur when a base model is systematically wrong.