Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation
Version 2 2024-06-03, 17:19
Version 1 2019-01-01, 00:00
conference contribution
posted on 2024-06-03, 17:19 authored by A Ramachandran, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Svetha VenkateshSvetha VenkateshInformation-Theoretic Multi-task Learning Framework for Bayesian Optimisation
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Location
Adelaide, South AustraliaOpen access
- Yes
Language
engPublication classification
E1 Full written paper - refereedVolume
11919Pagination
497-509Start date
2019-12-02End date
2019-12-05ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030352875Title of proceedings
AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019Event
Artificial Intelligence. Conference (32nd : 2019 : Adelaide, South Australia)Publisher
SpringerPlace of publication
Berlin, GermanySeries
Lecture Notes in Computer Science; v.11919Usage metrics
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