Multiple-source adaptation theory and algorithms

DOI10.1007/s10472-020-09716-0zbMath1490.68194OpenAlexW3097191881MaRDI QIDQ2035631

Ningshan Zhang, Mehryar Mohri, Judy Hoffman

Publication date: 25 June 2021

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-020-09716-0

zbMATH Keywords

DC programmingRényi divergencetransfer learningdomain adaptationmultiple-source adaptation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of information-theoretic topics (62B10)

Related Items (2)

Addendum to: ``Multiple-source adaptation theory and algorithms ⋮ Unnamed Item

Uses Software

• DeCAF
• ImageNet
• AlexNet
• OpenGrm

Cites Work

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• Rényi Divergence and Kullback-Leibler Divergence
• Matching algorithmic bounds for finding a Brouwer fixed point
• A theory of the learnable
• A D.C. Optimization Algorithm for Solving the Trust-Region Subproblem
• Homotopies for computation of fixed points
• The Concave-Convex Procedure
• On Choosing and Bounding Probability Metrics
• Elements of Information Theory
• The Approximation of Fixed Points of a Continuous Mapping
• SIMPLICIAL APPROXIMATION OF FIXED POINTS

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