Risk bounds for PU learning under Selected At Random assumption

Olivier Coudray, Christine Keribin, Pascal Massart +1

Positive-unlabeled learning (PU learning) is known as a special case of semi-supervised binary classification where only a fraction of positive examples are labeled. The challenge…