Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization

Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida +1

This paper proposes a novel and efficient method for Learning from Label Proportions (LLP), whose goal is to train a classifier only by using the class label proportions of instanc…