Corpus ID: 14008705

Analysis of Kernel Mean Matching under Covariate Shift

  title={Analysis of Kernel Mean Matching under Covariate Shift},
  author={Y. Yu and Csaba Szepesvari},
  • Y. Yu, Csaba Szepesvari
  • Published 2012
  • Computer Science, Mathematics
  • ArXiv
  • In real supervised learning scenarios, it is not uncommon that the training and test sample follow different probability distributions, thus rendering the necessity to correct the sampling bias. Focusing on a particular covariate shift problem, we derive high probability confidence bounds for the kernel mean matching (KMM) estimator, whose convergence rate turns out to depend on some regularity measure of the regression function and also on some capacity measure of the kernel. By comparing KMM… CONTINUE READING
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