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Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning.

H. Namkoong, S. Daulton, and E. Bakshy. CoRR, (2020)

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Variance-based Regularization with Convex Objectives.J. Duchi, and H. Namkoong. J. Mach. Learn. Res., (2019)Variance-based Regularization with Convex Objectives.H. Namkoong, and J. Duchi. NIPS, page 2971-2980. (2017)Certifying Some Distributional Robustness with Principled Adversarial Training.A. Sinha, H. Namkoong, and J. Duchi. ICLR, OpenReview.net, (2018)Adaptive Sampling Probabilities for Non-Smooth Optimization.H. Namkoong, A. Sinha, S. Yadlowsky, and J. Duchi. ICML, volume 70 of Proceedings of Machine Learning Research, page 2574-2583. PMLR, (2017)An Operational Perspective to Fairness Interventions: Where and How to Intervene.B. Hsu, X. Chen, Y. Han, H. Namkoong, and K. Basu. CoRR, (2023)Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning.H. Namkoong, S. Daulton, and E. Bakshy. CoRR, (2020)Evaluating model performance under worst-case subpopulations.M. Li, H. Namkoong, and S. Xia. NeurIPS, page 17325-17334. (2021)Robust causal inference under covariate shift via worst-case subpopulation treatment effects.S. Jeong, and H. Namkoong. COLT, volume 125 of Proceedings of Machine Learning Research, page 2079-2084. PMLR, (2020)Fairness Without Demographics in Repeated Loss Minimization.T. Hashimoto, M. Srivastava, H. Namkoong, and P. Liang. ICML, volume 80 of Proceedings of Machine Learning Research, page 1934-1943. PMLR, (2018)Learning Models with Uniform Performance via Distributionally Robust Optimization.J. Duchi, and H. Namkoong. CoRR, (2018)

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Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning.

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Disambiguation of "Namkoong, Hongseok"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning.

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Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning.