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Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement.

, , and . NeurIPS, page 2187-2200. (2021)

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Optimizing Coverage and Capacity in Cellular Networks using Machine Learning., , , , , , , , , and . CoRR, (2020)BoTorch: Programmable Bayesian Optimization in PyTorch., , , , , , and . CoRR, (2019)Unexpected Improvements to Expected Improvement for Bayesian Optimization., , , , and . CoRR, (2023)Optimizing Coverage and Capacity in Cellular Networks using Machine Learning., , , , , , , , , and . ICASSP, page 8138-8142. IEEE, (2021)BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization., , , , , , and . NeurIPS, (2020)Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints., , , , and . CoRR, (2019)Bayesian Optimization of Function Networks with Partial Evaluations., , , , , and . CoRR, (2023)Robust Multi-Objective Bayesian Optimization Under Input Noise., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4831-4866. PMLR, (2022)Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization., , , , , , , , , and . CoRR, (2021)Log-Linear-Time Gaussian Processes Using Binary Tree Kernels., , and . NeurIPS, (2022)