Bayesian optimization in weakly specified search space

Nguyen, Vu, Gupta, Sunil, Rana, Santu, Li, Cheng and Venkatesh, Svetha 2017, Bayesian optimization in weakly specified search space, in ICDM 2017 : Proceedings of the IEEE International Conference on Data Mining, IEEE, Piscataway, N.J., pp. 347-356, doi: 10.1109/ICDM.2017.44.

Attached Files
Name Description MIMEType Size Downloads

Title Bayesian optimization in weakly specified search space
Author(s) Nguyen, Vu
Gupta, SunilORCID iD for Gupta, Sunil
Rana, SantuORCID iD for Rana, Santu
Li, Cheng
Venkatesh, SvethaORCID iD for Venkatesh, Svetha
Conference name IEEE Data Mining. International Conference (17th : 2017 : New Orleans, La.)
Conference location New Orleans, La.
Conference dates 2017/11/18 - 2017/11/21
Title of proceedings ICDM 2017 : Proceedings of the IEEE International Conference on Data Mining
Editor(s) Raghavan, Vijay
Publication date 2017
Start page 347
End page 356
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science
Bayesian optimization
weakly specified space
hyper-parameter tuning
experimental design
ISBN 9781538638347
ISSN 1550-4786
Language eng
DOI 10.1109/ICDM.2017.44
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017 IEEE
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 297 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Thu, 13 Sep 2018, 17:08:04 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