Learning with Bad Training Data via Iterative Trimmed Loss Minimization

Yanyao Shen, Sujay Sanghavi

Abstract: In this paper, we study a simple and generic framework to tackle the problem of learning model parameters when a fraction of the training samples are corrupted. Our approach is motivated by a simpl...