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Distributionally Robust Optimization

Kuhn, Daniel et al.
arXiv (All) · Papers
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machine-learningoptimization-and-control
Distributionally robust optimization (DRO) studies decision problems under uncertainty where the probability distribution governing the uncertain problem parameters is itself uncertain. A key component of any DRO model is its ambiguity set, that is, a family of probability distributions consistent w
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