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Bayesian Optimization with Inequality Constraints., , , , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 937-945. JMLR.org, (2014)Product Kernel Interpolation for Scalable Gaussian Processes., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1407-1416. PMLR, (2018)Local Bayesian optimization via maximizing probability of descent., , , and . NeurIPS, (2022)Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees., , , , , and . NeurIPS, (2020)Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization., , , , and . NeurIPS, (2020)Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 16853-16876. PMLR, (2023)The Behavior and Convergence of Local Bayesian Optimization., , , and . NeurIPS, (2023)Variational Gaussian Processes with Decoupled Conditionals., , , , and . NeurIPS, (2023)Approximation-Aware Bayesian Optimization., , , , , and . CoRR, (2024)Black-Box Variational Inference Converges., , , , and . CoRR, (2023)