Reliable Semi-Supervised Learning when Labels are Missing at Random

Xiuming Liu, Dave Zachariah, Johan Wågberg +1

Semi-supervised learning methods are motivated by the availability of large datasets with unlabeled features in addition to labeled data. Unlabeled data is, however, not guaranteed…