Efficient Bayesian optimisation using derivative meta-model Yang, Ang, Li, Cheng, Rana, Santu, Gupta, Sunil and Venkatesh, Svetha 2018, Efficient Bayesian optimisation using derivative meta-model, in PRICAI 2018: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence, Springer, Cham, Switzerland, pp. 256-264, doi: 10.1007/978-3-319-97310-4_29. Attached Files Name Description MIMEType Size Downloads Title Efficient Bayesian optimisation using derivative meta-model Author(s) Yang, Ang Li, Cheng Rana, Santu orcid.org/0000-0003-2247-850X Gupta, Sunil orcid.org/0000-0002-3308-1930 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name Jiangsu Association of Artificial Intelligence. Conference (15th : 2018 : Nanjing, China) Conference location Nanjing, China Conference dates 2018/08/28 - 2018/08/31 Title of proceedings PRICAI 2018: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence Editor(s) Geng, Xin Kang, Byeong-Ho Publication date 2018 Series Jiangsu Association of Artificial Intelligence Conference Start page 256 End page 264 Total pages 9 Publisher Springer Place of publication Cham, Switzerland Keyword(s) Bayesian optimisation Gaussian process Meta learning Derivative-based ISBN 9783319973098 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-319-97310-4_29 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 International Publishing AG, part of Springer Nature Persistent URL http://hdl.handle.net/10536/DRO/DU:30114565 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 25 Oct 2018, 12:23:40 EST Thu, 25 Oct 2018, 12:49:21 EST Fri, 26 Oct 2018, 04:00:23 EST Fri, 26 Oct 2018, 07:05:35 EST Fri, 01 Mar 2019, 12:55:09 EST Tue, 26 Mar 2019, 05:01:38 EST Thu, 28 Mar 2019, 08:22:52 EST Thu, 28 Mar 2019, 08:25:13 EST Thu, 28 Mar 2019, 08:26:01 EST Sat, 24 Aug 2019, 02:30:30 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 188 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Fri, 01 Mar 2019, 12:55:09 EST

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