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When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? A Simple Perspective
Two-stage sample robust optimization with linear decision rules is a standard data-driven approach to two-stage stochastic linear programs with unknown distributions. \cite{bertsimas2022two} established that this approach is asymptotically optimal under several conditions. Most conditions are mild,
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