Information-theoretic transfer learning framework for Bayesian optimisation

Ramachandran, Anil, Gupta, Sunil, Rana, Santu and Venkatesh, Svetha 2019, Information-theoretic transfer learning framework for Bayesian optimisation, in ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018, Springer, Cham, Switzerland, pp. 827-842, doi: 10.1007/978-3-030-10928-8_49.

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Title Information-theoretic transfer learning framework for Bayesian optimisation
Author(s) Ramachandran, Anil
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 European Machine Learning and Data Mining. Conference (2018 : Dublin, Ireland)
Conference location Dublin, Ireland
Conference dates 2018/09/10 - 2018/09/14
Title of proceedings ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018
Editor(s) Berlingerio, Michele
Bonchi, Francesco
Gärtner, Thomas
Hurley, Neil
Ifrim, Georgina
Publication date 2019
Series European Machine Learning and Data Mining Conference
Start page 827
End page 842
Total pages 16
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Transfer learning
Bayesian optimisation
Computer science
ISBN 9783030109271
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-10928-8_49
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Grant ID ARC Laureate FL170100006
Copyright notice ©2019, Springer Nature Switzerland AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119230

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