Regret Bounds for Gaussian-Process Optimization in Large Domains

Wüthrich, Manuel; Schölkopf, Bernhard; Krause, Andreas

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Regret Bounds for Gaussian-Process Optimization in Large Domains

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Wüthrich, Manuel
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf, Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://proceedings.neurips.cc/paper_files/paper/2021/hash/3cec07e9ba5f5bb252d13f5f431e4bbb-Abstract.html
(Publisher version)

https://doi.org/10.48550/arXiv.2104.14113
(Preprint)

https://openreview.net/forum?id=eb0angdXVfR
(Preprint)

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Citation

Wüthrich, M., Schölkopf, B., & Krause, A. (2022). Regret Bounds for Gaussian-Process Optimization in Large Domains. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (pp. 7385-7396). Curran Associates, Inc.

Cite as: https://hdl.handle.net/21.11116/0000-000D-75A2-8

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