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Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization.

, , , , and . WSC, page 2779-2790. IEEE, (2020)

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Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services., , , , , and . IEEE Trans. Instrum. Meas., (2024)Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18096-18121. PMLR, (2022)A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty., , and . CoRR, (2022)PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 2565-2588. PMLR, (2023)A robust multi-objective Bayesian optimization framework considering input uncertainty., , and . J. Glob. Optim., 86 (3): 693-711 (July 2023)PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints., , , and . CoRR, (2022)Finding Knees in Bayesian Multi-objective Optimization., , , , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 104-117. Springer, (2022)Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow., , , , , , , , , and 6 other author(s). CoRR, (2023)Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization., , , , and . WSC, page 2779-2790. IEEE, (2020)