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Scalable Meta-Learning for Bayesian Optimization., , and . CoRR, (2018)Uncertainty in online experiments with dependent data: an evaluation of bootstrap methods., and . KDD, page 1303-1311. ACM, (2013)Bayesian Optimization with High-Dimensional Outputs., , , and . NeurIPS, page 19274-19287. (2021)Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization., , , and . NeurIPS, (2020)Design and Analysis of Benchmarking Experiments for Distributed Internet Services., and . WWW, page 108-118. ACM, (2015)Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 4235-4258. PMLR, (2022)Designing and deploying online field experiments., , and . WWW, page 283-292. ACM, (2014)Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes., , , , , and . CoRR, (2024)The role of social networks in information diffusion., , , and . WWW, page 519-528. ACM, (2012)Looper: An End-to-End ML Platform for Product Decisions., , , , , , , , , and 9 other author(s). KDD, page 3513-3523. ACM, (2022)