Corruption-Tolerant Gaussian Process Bandit Optimization

Corruption-Tolerant Gaussian Process Bandit Optimization

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Bibliographic Details
Main Authors: Ilija Bogunovic, Andreas Krause, Jonathan Scarlett
Other Authors: DEPT OF COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: Proceedings of Machine Learning Research 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/171872
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Institution: National University of Singapore
id sg-nus-scholar.10635-171872
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spelling sg-nus-scholar.10635-1718722020-08-03T13:20:29Z Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett DEPT OF COMPUTER SCIENCE 2020-08-03T10:01:55Z 2020-08-03T10:01:55Z 2020-06 Conference Paper Ilija Bogunovic, Andreas Krause, Jonathan Scarlett (2020-06). Corruption-Tolerant Gaussian Process Bandit Optimization. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/171872 CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ Proceedings of Machine Learning Research
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
author2 DEPT OF COMPUTER SCIENCE
author_facet DEPT OF COMPUTER SCIENCE
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
format Conference or Workshop Item
author Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
spellingShingle Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
Corruption-Tolerant Gaussian Process Bandit Optimization
author_sort Ilija Bogunovic
title Corruption-Tolerant Gaussian Process Bandit Optimization
title_short Corruption-Tolerant Gaussian Process Bandit Optimization
title_full Corruption-Tolerant Gaussian Process Bandit Optimization
title_fullStr Corruption-Tolerant Gaussian Process Bandit Optimization
title_full_unstemmed Corruption-Tolerant Gaussian Process Bandit Optimization
title_sort corruption-tolerant gaussian process bandit optimization
publisher Proceedings of Machine Learning Research
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/171872
_version_ 1681101448329297920

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