Bayesian Optimization with Missing Inputs

Luong, Phuc, Nguyen, Dang, Gupta, Sunil, Rana, Santu and Venkatesh, Svetha 2021, Bayesian Optimization with Missing Inputs, in ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, Berlin, Germany, pp. 691-706, doi: 10.1007/978-3-030-67661-2_41.


Title Bayesian Optimization with Missing Inputs
Author(s) Luong, Phuc
Nguyen, Dang
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 Machine Learning and Knowledge Discovery in Databases. Joint European Conference (2020 : Belgium, Ghent)
Conference location Belgium, Ghent
Conference dates 14-18 Sep. 2020
Title of proceedings ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Editor(s) Hutter, F
Kersting, K
Lijffijt, J
Valera, I
Publication date 2021
Series Lecture Notes in Computer Science; 12458
Start page 691
End page 706
Total pages 16
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Bayesian optimization
Missing data
Matrix factorization
Gaussian process
ISBN 9783030676605
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-67661-2_41
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30149782

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