Robust domain adaptation

Yishay Mansour, Mariano Schain

Research output: Contribution to journalArticlepeer-review


We derive a generalization bound for domain adaptation by using the properties of robust algorithms. Our new bound depends on λ-shift, a measure of prior knowledge regarding the similarity of source and target domain distributions. Based on the generalization bound, we design SVM variants for binary classification and regression domain adaptation algorithms.

Original languageEnglish
Pages (from-to)365-380
Number of pages16
JournalAnnals of Mathematics and Artificial Intelligence
Issue number4
StatePublished - 1 Aug 2014


  • Adaptation
  • Robustness
  • SVM


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