Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization

We propose a Bayesian framework for assessing the relative strengths of data-driven ambiguity sets in distributionally robust optimization (DRO) when the underlying distribution is defined by a fin...

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