Sparse Spectrum Gaussian Process for Bayesian Optimization

Yang, Ang, Li, Cheng, Rana, Santu, Gupta, Sunil and Venkatesh, Svetha 2021, Sparse Spectrum Gaussian Process for Bayesian Optimization, in PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Springer, Berlin, Germany, pp. 257-268, doi: 10.1007/978-3-030-75765-6_21.

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Title Sparse Spectrum Gaussian Process for Bayesian Optimization
Author(s) Yang, Ang
Li, Cheng
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Knowledge Discovery and Data Mining. Pacific-Asia Conference (2021 : 25th : Virtual Event)
Conference location Virtual Event
Conference dates 11-14 May. 2021
Title of proceedings PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I
Publication date 2021
Series Lecture Notes in Computer Science, v.12713
Start page 257
End page 268
Total pages 12
Publisher Springer
Place of publication Berlin, Germany
ISBN 9783030757649
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-75765-6_21
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Grant ID FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30154218

Document type: Conference Paper
Collection: A2I2 (Applied Artificial Intelligence Institute)
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