Unsupervised domain adaptation with non-stochastic missing data

Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy +1

We consider unsupervised domain adaptation (UDA) for classification problems in the presence of missing data in the unlabelled target domain. More precisely, motivated by practical…