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Introduction to Distributionally Robust Optimization
Distributionally Robust Prescriptive Analytics Based On Optimal Transport
Distributionally Robust Power and Gas Dispatch with Multivariate and Correlated Uncertainty
IROS2020 Data-Driven Distributionally Robust Electric Vehicle Balancing under Model Uncertainties
Wasserstein distributionally robust optimization:computation, regularization and statistics
Daniel Kuhn: Data-driven and Distributionally Robust Optimization and Applications -- Part 2/2
Daniel Kuhn: Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi...
Mean-field-type game theory: distributionally robustness
Nam Ho Nguyen: Distributionally Robust Chance Constrained Programs under Wasserstein Ambiguity
Wei Feng: Distributionally Robust Optimization for Integrated Production and Maintenance Scheduling
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
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Last Updated: August 16, 2026
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