Distributionally Robust Convex Optimization

Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim

Abstract: Distributionally robust optimization is a paradigm for decision making under uncertainty where the uncertain problem data are governed by a probability distribution that is itself subject to uncert...