Benign Overfitting in Out-of-Distribution Generalization of Linear Models

Shange Tang, Jiayun Wu, Jianqing Fan +1

Benign overfitting refers to the phenomenon where an over-parameterized model fits the training data perfectly, including noise in the data, but still generalizes well to the unsee…