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Bayesian Optimization for Distributionally Robust Chance-constrained Problem.

, , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9602-9621. PMLR, (2022)

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Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds., , , and . ICML, OpenReview.net, (2024)Distributionally Robust Coreset Selection under Covariate Shift., , , , , , , , , and 2 other author(s). CoRR, (January 2025)Mean-Variance Analysis in Bayesian Optimization under Uncertainty., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 973-981. PMLR, (2021)Active Learning for Level Set Estimation Using Randomized Straddle Algorithms., , , and . CoRR, (2024)Computing Valid P-Values for Image Segmentation by Selective Inference., , , , and . CVPR, page 9550-9559. Computer Vision Foundation / IEEE, (2020)Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum., , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1252-1260. PMLR, (2024)Bayesian Optimization for Distributionally Robust Chance-constrained Problem., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9602-9621. PMLR, (2022)Active learning for enumerating local minima based on Gaussian process derivatives., , , and . CoRR, (2019)Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments., and . CoRR, (2023)Distributionally Robust Safe Sample Screening., , , , , , , , , and 2 other author(s). CoRR, (2024)