Robust Bayesian Kernel Machine via Stein variational gradient descent for big data

Nguyen, Khanh, Le, Trung Minh, Nguyen, Tu Dinh, Phung, Quoc-Dinh and Webb, Geoffrey I 2018, Robust Bayesian Kernel Machine via Stein variational gradient descent for big data, in KDD '18 : Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, New York, N.Y., pp. 2003-2011, doi: 10.1145/3219819.3220015.

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Title Robust Bayesian Kernel Machine via Stein variational gradient descent for big data
Author(s) Nguyen, Khanh
Le, Trung MinhORCID iD for Le, Trung Minh orcid.org/0000-0002-7070-8093
Nguyen, Tu Dinh
Phung, Quoc-DinhORCID iD for Phung, Quoc-Dinh orcid.org/0000-0002-9977-8247
Webb, Geoffrey I
Conference name Association for Computing Machinery. Conference (24th : 2018 : London, Eng.)
Conference location London, Eng.
Conference dates 2018/08/19 - 2018/08/23
Title of proceedings KDD '18 : Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Editor(s) [Unknown]
Publication date 2018
Series Association for Computing Machinery Conference
Start page 2003
End page 2011
Total pages 9
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) Kernel methods
Stein divergence
random feature
multiclass supervised learning
Bayesian inference
variational method
big data
Science & Technology
Technology
Artificial Intelligence
Information Systems
Computer Science
ISBN 9781450355520
Language eng
DOI 10.1145/3219819.3220015
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, the author(s)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30120361

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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