Active learning in heteroscedastic noise
type: Item
instance of: scholarly article
title: Active learning in heteroscedastic noise
zbMATH Open document ID: 1192.68502
author: András Antos
author: Varun Grover
author: Csaba Szepesvári
published in: Theoretical Computer Science
publication date: 2010-07-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5731723
zbMATH Keywords: active learning
zbMATH Keywords: heteroscedastic noise
zbMATH Keywords: regression
zbMATH Keywords: sequential analysis
zbMATH Keywords: sequential allocation
MaRDI profile type: Publication
full work available at URL: j.tcs.2010.04.007
OpenAlex ID: W2159035200
cites work: Active Learning in Multi-armed Bandits
cites work: Measure Theory and Probability Theory
cites work: Finite-time analysis of the multiarmed bandit problem
cites work: Q4844367
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cites work: Q4881152
cites work: Probability Inequalities for Sums of Bounded Random Variables
cites work: Asymptotically efficient adaptive allocation rules
cites work: Machine learning and nonparametric bandit theory
cites work: Q4729170
DOI: 10.1016/J.TCS.2010.04.007
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description: scientific article; zbMATH DE number 5731723