On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study

Chathurika S Abeykoon, Mathias Nthiani Muia, Mallory Goldstein

Generative data augmentation is widely used to mitigate class imbalance, yet its theoretical effect on downstream generalization remains poorly understood. In this work, we develop…