Local-discrepancy ambiguity sets for distributionally robust optimization

Ilias Papagoudis, Dimitris Boskos

In this paper, we introduce a new class of data-driven ambiguity sets for distributionally robust optimization (DRO) that aim to enhance the local inference accuracy of an unknown…