Adaptive Scenario Generation for KL-DRO Around a Learned Density Model
The study analyzes ambiguity sets in distributionally robust optimization to hedge stochastic programs against finite record errors.
The study analyzes ambiguity sets in distributionally robust optimization to hedge stochastic programs against finite record errors.