DRO

High dimensional bayesian optimization with elastic gaussian process

Rana, Santu, Li, Cheng, Gupta, Sunil, Nguyen, Vu and Venkatesh, Svetha 2017, High dimensional bayesian optimization with elastic gaussian process, in ICML 2017: Proceedings of the 34th International Conference in Machine Learning, ICML, [Sydney, N.S.W.], pp. 1-9.

Attached Files
Name Description MIMEType Size Downloads

Title High dimensional bayesian optimization with elastic gaussian process
Author(s) Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Li, Cheng
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Nguyen, Vu
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Machine Learning. International Conference (34th : 2017 : Sydney, New South Wales)
Conference location Sydney, New South Wales
Conference dates 2017/08/06 - 2017/08/11
Title of proceedings ICML 2017: Proceedings of the 34th International Conference in Machine Learning
Publication date 2017
Conference series International Conference in Machine Learning
Start page 1
End page 9
Total pages 9
Publisher ICML
Place of publication [Sydney, N.S.W.]
Language eng
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30096183

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 158 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Tue, 16 May 2017, 14:22:49 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.