Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Version 2 2024-06-02, 14:49
Version 1 2023-07-18, 05:13
conference contribution
posted on 2024-06-02, 14:49 authored by H Tran-The, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Svetha VenkateshSvetha VenkateshRegret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
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Volume
151Pagination
8715-8737Location
Virtual ConferenceLink to full text
Start date
2022-03-28End date
2022-03-30ISSN
2640-3498eISSN
2640-3498Language
EnglishPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
Camps-Valls G, Ruiz FJR, Valera ITitle of proceedings
AISTATS 2022 : Proceedings of the 25th International Conference on Artificial Intelligence and StatisticsEvent
Artificial Intelligence and Statistics. Conference (2022 : Virtual Conference)Publisher
JMLR-JOURNAL MACHINE LEARNING RESEARCHPlace of publication
Cambridge, Mass.Series
Proceedings of Machine Learning ResearchPublication URL
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