Accelerating experimental design by incorporating experimenter hunches

Li, Cheng, Santu, Rana, Gupta, Sunil, Nguyen, Tien Vu, Venkatesh, Svetha, Sutti, Alessandra, De Celis Leal, DR, Slezak, Teo, Height, Murray, Mohammed, Mazher and Gibson, Ian 2018, Accelerating experimental design by incorporating experimenter hunches, in IEEE ICDM 2018 : International Conference on Data Mining, IEEE, Piscataway, N.J., pp. 257-266, doi: 10.1109/ICDM.2018.00041.

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Title Accelerating experimental design by incorporating experimenter hunches
Author(s) Li, Cheng
Santu, RanaORCID iD for Santu, Rana orcid.org/0000-0003-2247-850X
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Nguyen, Tien Vu
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Sutti, AlessandraORCID iD for Sutti, Alessandra orcid.org/0000-0002-1793-3881
De Celis Leal, DR
Slezak, Teo
Height, MurrayORCID iD for Height, Murray orcid.org/0000-0002-4149-9122
Mohammed, MazherORCID iD for Mohammed, Mazher orcid.org/0000-0003-2177-9845
Gibson, IanORCID iD for Gibson, Ian orcid.org/0000-0002-4149-9122
Conference name Data Mining. International Conference (2018 : Singapore)
Conference location Singapore
Conference dates 2018/11/17 - 2018/11/20
Title of proceedings IEEE ICDM 2018 : International Conference on Data Mining
Publication date 2018
Start page 257
End page 266
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) bayesian optimization
monotonicity knowledge
prior knowledge
hyper-parameter tuning
experimental design
ISBN 9781538691588
ISSN 1550-4786
Language eng
DOI 10.1109/ICDM.2018.00041
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID ARC Laureate FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119204

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