Marginal singularity and the benefits of labels in covariate-shift

DOI10.1214/21-AOS2084zbMath1486.62186arXiv1803.01833OpenAlexW2964250041MaRDI QIDQ2073708

Guillaume Martinet, Samory Kpotufe

Publication date: 7 February 2022

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

Full work available at URL: https://arxiv.org/abs/1803.01833

zbMATH Keywords

nonparametric classificationtransfer learningdomain adaptationcovariate shift

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Optimally tackling covariate shift in RKHS-based nonparametric regression ⋮ Transfer learning for contextual multi-armed bandits ⋮ Tnn: a transfer learning classifier based on weighted nearest neighbors ⋮ A no-free-lunch theorem for multitask learning

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