A General Wasserstein Framework for Data-driven Distributionally Robust Optimization: Tractability and Applications

Jonathan Yu-Meng Li, Tiantian Mao

Data-driven distributionally robust optimization is a recently emerging paradigm aimed at finding a solution that is driven by sample data but is protected against sampling errors.…