Towards a Theoretical Framework of Out-of-Distribution Generalization

Haotian Ye, Chuanlong Xie, Tianle Cai +3

Generalization to out-of-distribution (OOD) data is one of the central problems in modern machine learning. Recently, there is a surge of attempts to propose algorithms that mainly…