arXiv stat.ML
· Papers
When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?
arXiv:2606.26053v1 Announce Type: new Abstract: Synthetic data augmentation is widely used to mitigate class imbalance, but its theoretical effects on score-based classification remain poorly understood. This paper develops a framework for characterizing when synthetic minority augmentation can improve threshold-integr