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Robust Bayesian Classification Using An Optimistic Score Ratio.

, , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7327-7337. PMLR, (2020)

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Optimal uncertainty size in distributionally robust inverse covariance estimation., and . Oper. Res. Lett., 47 (6): 618-621 (2019)A Finite Sample Complexity Bound for Distributionally Robust Q-learning., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3370-3398. PMLR, (2023)Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces., , , and . CoRR, (2024)Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8884-8894. PMLR, (2020)Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality., , , and . NeurIPS, (2020)Testing Group Fairness via Optimal Transport Projections., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9649-9659. PMLR, (2021)A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators., , and . WSC, page 805-816. IEEE, (2023)ScoreFusion: fusing score-based generative models via Kullback-Leibler barycenters., , , and . CoRR, (2024)Sample Complexity of Variance-reduced Distributionally Robust Q-learning., , , and . CoRR, (2023)Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach.. CoRR, (2023)