Efficient bayesian optimization for uncertainty reduction over perceived optima locations

Nguyen, V, Gupta, Sunil, Rana, Santu, Thai, M, Li, C and Venkatesh, Svetha 2019, Efficient bayesian optimization for uncertainty reduction over perceived optima locations, in ICDM 2019 : Proceedings of the 19th IEEE International Conference on Data Mining, IEEE, Piscataway, N.J., pp. 1270-1275, doi: 10.1109/ICDM.2019.00159.

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Title Efficient bayesian optimization for uncertainty reduction over perceived optima locations
Author(s) Nguyen, V
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Thai, M
Li, C
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Data Mining. IEEE Conference (2019 : 19th : Beijing, China)
Conference location Beijing, China
Conference dates 8-11 Nov. 2019
Title of proceedings ICDM 2019 : Proceedings of the 19th IEEE International Conference on Data Mining
Editor(s) Wang, J
Shim, K
Wu, X
Publication date 2019
Start page 1270
End page 1275
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Bayesian optimization
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Information Systems
experimental design
hyper-parameter tuning
Science & Technology
Technology
uncertainty reduction
ISBN 9781728146034
ISSN 1550-4786
Language eng
DOI 10.1109/ICDM.2019.00159
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Grant ID FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137741

Document type: Conference Paper
Collection: A2I2 (Applied Artificial Intelligence Institute)
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