scientific article; zbMATH DE number 7049721

zbMath1483.68289MaRDI QIDQ4633010

Andres Muñoz Medina, Corinna Cortes, Mehryar Mohri

Publication date: 2 May 2019

Full work available at URL: http://jmlr.csail.mit.edu/papers/v20/15-192.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

learning theorydomain adaptation

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 (3)

Marginal singularity and the benefits of labels in covariate-shift ⋮ Adaptive transfer learning ⋮ Nuclear discrepancy for single-shot batch active learning

Cites Work

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• Direct importance estimation for covariate shift adaptation
• Domain adaptation and sample bias correction theory and algorithm for regression
• Domain Adaptation in Regression
• On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples
• Two Algorithms for the Minimum Enclosing Ball Problem
• Sample Selection Bias Correction Theory
• A theory of the learnable
• Approximate minimum enclosing balls in high dimensions using core-sets

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