High dimensional bayesian optimization using dropout

Li, Cheng, Gupta, Sunil, Rana, Santu, Nguyen, Tien Vu, Venkatesh, Svetha and Shilton, Alistair 2017, High dimensional bayesian optimization using dropout, in IJCAI 2017 : Proceedings of the 26th International Joint Confrerence on Artificial Intelligence, [The Conference], [Melbourne, Vic.], pp. 2096-2102.

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Title High dimensional bayesian optimization using dropout
Author(s) Li, Cheng
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Nguyen, Tien Vu
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Shilton, AlistairORCID iD for Shilton, Alistair orcid.org/0000-0002-0849-3271
Conference name Artificial Intelligence. International Joint Conference (26th : 2017 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 2017/08/22 - 2017/08/25
Title of proceedings IJCAI 2017 : Proceedings of the 26th International Joint Confrerence on Artificial Intelligence
Publication date 2017
Conference series Artificial Intelligence International Joint Conference
Start page 2096
End page 2102
Total pages 7
Publisher [The Conference]
Place of publication [Melbourne, Vic.]
Language eng
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©[2017, The Conference]
Persistent URL http://hdl.handle.net/10536/DRO/DU:30102632

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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Created: Fri, 17 Nov 2017, 19:26:04 EST

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