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Statistics Seminar
Department of Mathematical Sciences

DATE:Thursday, April 22, 2021
TIME:1:15pm – 2:15pm
LOCATION:Zoom meeting
SPEAKER:Baozhen Wang, Binghamton University
TITLE:A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation


In the problem of domain adaptation for binary classification, the learner is presented with labeled examples from a source domain, and must correctly classify unlabeled examples from a target domain, which may differ from the source. The author study a class of domain adaptation problems that generalizes both the covariate shift assumption and a model for feature-dependent label noise, and establish optimal classification on the target domain despite not having access to labelled data from this domain.

seminars/stat/210422.txt · Last modified: 2021/04/13 12:24 by qyu