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Bayesian Quadrature Optimization for Probability Threshold Robustness Measure., , and . Neural Comput., 33 (12): 3413-3466 (2021)Bayesian Quadrature Optimization for Probability Threshold Robustness Measure., , and . CoRR, (2020)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 of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation., , , , and . Neural Comput., 32 (10): 1998-2031 (2020)Active learning for enumerating local minima based on Gaussian process derivatives., , , and . CoRR, (2019)Bayesian Optimization for Distributionally Robust Chance-constrained Problem., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9602-9621. PMLR, (2022)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)Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives., , , and . Neural Comput., 32 (10): 2032-2068 (2020)Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions., , , and . Neural Comput., 32 (12): 2486-2531 (2020)