Joseph H.T. Kim

A Generalized Theory of Mixup for Structure-Preserving Synthetic Data

Mixup is a widely adopted data augmentation technique known for enhancing the generalization of machine learning models by interpolating between data points. Despite its success and popularity, limited attention has been given to understanding the statistical properties of the synthetic data it gene…