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  Regret Bounds for Gaussian-Process Optimization in Large Domains

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-75A2-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-75A3-7
Genre: Conference Paper

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Locator:
https://proceedings.neurips.cc/paper_files/paper/2021/hash/3cec07e9ba5f5bb252d13f5f431e4bbb-Abstract.html (Publisher version)
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Gold
Locator:
https://doi.org/10.48550/arXiv.2104.14113 (Preprint)
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https://openreview.net/forum?id=eb0angdXVfR (Preprint)
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OA-Status:
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 Creators:
Wüthrich, Manuel1, Author           
Schölkopf, Bernhard1, Author                 
Krause, Andreas2, Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20212022-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: WutSchKra21
arXiv: 2104.14113
 Degree: -

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Title: 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Place of Event: Online
Start-/End Date: 2021-12-06 - 2021-12-14

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Title: Advances in Neural Information Processing Systems 34
  Subtitle : 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Source Genre: Proceedings
 Creator(s):
Ranzato, M.1, Editor
Beygelzimer, A.1, Editor
Dauphin, Y.1, Editor
Liang, P. S.1, Editor
Wortman Vaughan, J.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Curran Associates, Inc.
Pages: - Volume / Issue: 9 Sequence Number: - Start / End Page: 7385 - 7396 Identifier: ISBN: 978-1-7138-4539-3
URI: https://proceedings.neurips.cc/paper_files/paper/2021