Active learning in heteroscedastic noise

DOI10.1016/j.tcs.2010.04.007zbMath1192.68502OpenAlexW2159035200MaRDI QIDQ982644

Varun Grover, Csaba Szepesvári, András Antos

Publication date: 7 July 2010

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2010.04.007

zbMATH Keywords

regressionactive learningheteroscedastic noisesequential analysissequential allocation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives ⋮ Best arm identification in generalized linear bandits

Cites Work

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• Asymptotically efficient adaptive allocation rules
• Active Learning in Multi-armed Bandits
• Machine learning and nonparametric bandit theory
• Probability Inequalities for Sums of Bounded Random Variables
• Measure Theory and Probability Theory
• Finite-time analysis of the multiarmed bandit problem

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