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Stochastic programming and distributionally robust optimization seek deterministic decisions that optimize a risk measure, possibly in view of the most adverse distribution in an ambiguity set. We ...

“Dice”-sion–Making Under Uncertainty: When Can a Random Decision Reduce Risk?