Deakin University
Browse
rana-informationtheoretic-accepted-2019.pdf (1.18 MB)

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

Download (1.18 MB)
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

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

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC