Local uncertainty sampling for large-scale multiclass logistic regression

DOI10.1214/19-AOS1867zbMath1452.62163arXiv1604.08098OpenAlexW3043437699MaRDI QIDQ2196246

Ting Yang, Lei Han, Tong Zhang, Kean Ming Tan

Publication date: 28 August 2020

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1604.08098

zbMATH Keywords

binary and multiclass logistic regressionlocal case control samplinglocal uncertainty sampling

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (5)

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Cites Work

• Unnamed Item
• Local case-control sampling: efficient subsampling in imbalanced data sets
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Sample Selection Bias Correction Theory
• Fitting Logistic Regression Models in Stratified Case-Control Studies
• On the Robustness of Weighted Methods for Fitting Models to Case–Control Edata
• Separate sample logistic discrimination
• A Generalization of Sampling Without Replacement From a Finite Universe

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