Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation

Seonghwi Kim, Sung Ho Jo, Wooseok Ha +1

Unsupervised domain adaptation (UDA) is a statistical learning problem when the distribution of training (source) data is different from that of test (target) data. In this setting…