A survey on domain adaptation theory: learning bounds and theoretical guarantees

Ievgen Redko, Emilie Morvant, Amaury Habrard +2

All famous machine learning algorithms that comprise both supervised and semi-supervised learning work well only under a common assumption: the training and test data follow the sa…