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On Information Gain and Regret Bounds in Gaussian Process Bandits.

, , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 82-90. PMLR, (2021)

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A Stepwise uncertainty reduction approach to constrained global optimization.. AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 787-795. JMLR.org, (2014)$X$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks., , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 252-267. PMLR, (2019)Inferring large graphs using ℓ1 -penalized likelihood., , and . Stat. Comput., 28 (4): 905-921 (2018)Interpretable sparse SIR for functional data., , and . Stat. Comput., 29 (2): 255-267 (2019)Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34143-34160. PMLR, (2023)Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow., , , , , , , , , and 6 other author(s). CoRR, (2023)X-Armed Bandits: Optimizing Quantiles and Other Risks., , and . CoRR, (2019)Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation., , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 431-446. Springer, (2020)Ordinal Bayesian Optimisation., , and . CoRR, (2019)Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian., , , and . NIPS, page 1435-1443. (2016)