On testing transitivity in online preference learning

DOI10.1007/s10994-021-06026-2OpenAlexW3177658582MaRDI QIDQ2071345

Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier

Publication date: 28 January 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-021-06026-2

zbMATH Keywords

online learningsequential testingstochastic transitivitypairwise preferencesdueling bandits

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• The \(K\)-armed dueling bandits problem
• Sequential analysis. Tests and confidence intervals
• Binary choice probabilities: on the varieties of stochastic transitivity
• Statistical issues in measurement
• NON-NULL RANKING MODELS. I
• Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
• Asymptotic Behavior of Expected Sample Size in Certain One Sided Tests
• Optimum Character of the Sequential Probability Ratio Test
• Sequential Tests of Statistical Hypotheses

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