Explaining black-box models using interpretable surrogates

Kuttichira, DP, Gupta, Sunil, Li, Cheng, Rana, Santu and Venkatesh, Svetha 2019, Explaining black-box models using interpretable surrogates, in PRICAI 2019: Trends in Artificial Intelligence 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings,, Springer, Berlin, Germany, pp. 3-15, doi: 10.1007/978-3-030-29908-8_1.

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Title Explaining black-box models using interpretable surrogates
Author(s) Kuttichira, DP
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Li, ChengORCID iD for Li, Cheng orcid.org/0000-0001-8140-2826
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 Pacific Rim International Conference of Artificial Intelligence (2019 : Cuvu, Fiji)
Conference location Cuvu, Fiji
Conference dates 26-30 Aug. 2019
Title of proceedings PRICAI 2019: Trends in Artificial Intelligence 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings,
Editor(s) Nayak, AC
Sharma, A
Publication date 2019
Series Lecture Notes in Artificial Intelligence; v.11670
Start page 3
End page 15
Total pages 14
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Bayesian optimisation
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
Explainability
Gaussian process
Science & Technology
Technology
ISBN 9783030299071
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-29908-8_1
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Grant ID FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30132020

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