Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences explores This paper provides theoretical guarantees for distributionally robust optimization using optimal transport, improving adversarial training robustness.. Commercial viability score: 3/10 in Robustness and Adversarial Training.
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