Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

Ramachandran, Anil; Gupta, Sunil; Rana, Santu; Venkatesh, Svetha

rana-informationtheoretic-accepted-2019.pdf (1.18 MB)

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

conference contribution

posted on 2019-01-01, 00:00 authored by Anil Ramachandran, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Svetha VenkateshSvetha Venkatesh

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

History

Event

Artificial Intelligence. Conference (32nd : 2019 : Adelaide, South Australia)

Volume

11919

Series

Lecture Notes in Computer Science; v.11919

Pagination

497 - 509

Publisher

Springer

Location

Adelaide, South Australia

Place of publication

Berlin, Germany

Publisher DOI

https://doi.org/10.1007/978-3-030-35288-2_40

Start date

2019-12-02

End date

2019-12-05

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030352875

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019

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Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

History

Event

Volume

Series

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Usage metrics

Read the peer-reviewed publication

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