Sparse approximation for Gaussian process with derivative observations

Yang, Ang, Li, Cheng, Rana, Santu, Gupta, Sunil and Venkatesh, Svetha 2018, Sparse approximation for Gaussian process with derivative observations, in AI 2018: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, Springer, Cham, Switzerland, pp. 507-518, doi: 10.1007/978-3-030-03991-2_46.

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Title Sparse approximation for Gaussian process with derivative observations
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 Australian Computer Society. Conference (31st : 2018 : Wellington, N.Z.)
Conference location Wellington, N.Z.
Conference dates 2018/12/11 - 2018/12/14
Title of proceedings AI 2018: Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence
Editor(s) Mitrovic, Tanja
Xue, Bing
Li, Xiaodong
Publication date 2018
Series Australian Computer Society Conference
Start page 507
End page 518
Total pages 12
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Sparse Gaussian process model
Bayesian optimisation
Derivative-based
ISBN 9783030039905
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-03991-2_46
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Grant ID ARC Laureate FL170100006
Copyright notice ©2018, Springer Nature Switzerland AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30116363

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