Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation

Chao Ying, Jun Jin, Haotian Zhang +4

We study an unsupervised domain adaptation problem where the source domain consists of subpopulations defined by the binary label $Y$ and a binary background (or environment) $A$.…