A privacy preserving bayesian optimization with high efficiency

Nguyen, Thanh Dai, Gupta, Sunil, Rana, Santu and Venkatesh, Svetha 2018, A privacy preserving bayesian optimization with high efficiency, in PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Springer, Cham, Switzerland, pp. 543-555, doi: 10.1007/978-3-319-93040-4_43.

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Title A privacy preserving bayesian optimization with high efficiency
Author(s) Nguyen, Thanh DaiORCID iD for Nguyen, Thanh Dai orcid.org/0000-0002-7298-5035
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Knowledge Discovery and Data Mining. Pacific-Asia Conference (22nd : 2018 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 2018/06/03 - 2018/06/06
Title of proceedings PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference
Editor(s) Phung, D
Tseng, V
Webb, G
Ho, B
Ganji, M
Rashidi, L
Publication date 2018
Series Lecture notes in artificial intelligence
Start page 543
End page 555
Total pages 13
Publisher Springer
Place of publication Cham, Switzerland
ISBN 9783319930398
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-93040-4_43
Field of Research 08 Information And Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID ARC FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109728

Document type: Conference Paper
Collection: School of Information Technology
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