Jingyang Lyu

A Statistical Theory of Overfitting for Imbalanced Classification

Classification with imbalanced data is a common challenge in machine learning, where minority classes form only a small fraction of the training samples. Classical theory, relying on large-sample asymptotics and finite-sample corrections, is often ineffective in high dimensions, leaving many overfit…