Statistical learning from biased training samples

DOI10.1214/22-EJS2084MaRDI QIDQ2106792

Stéphan Clémençon, Pierre Laforgue

Publication date: 19 December 2022

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.12304

zbMATH Keywords

statistical learning theorybias sampling modelslearning under sample selection biasnonasymptotic generalization bounds

Mathematics Subject Classification ID

Statistical sampling theory and related topics (62D99) Empirical decision procedures; empirical Bayes procedures (62C12)

Uses Software

• Scikit
• ElemStatLearn

Cites Work

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• Input-dependent estimation of generalization error under covariate shift
• The Estimation of Choice Probabilities from Choice Based Samples
• Sampling and empirical risk minimization
• Probability Inequalities for Sums of Bounded Random Variables
• Support vector machines for classification in nonstandard situations

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