2 papers
stat.ML2026
When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?
Zhengchi Ma, Pengfei Lyu, Anru R. Zhang
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 fr…
stat.ML2026
Bias-Corrected Data Synthesis for Imbalanced Learning
Pengfei Lyu, Zhengchi Ma, Linjun Zhang +1
Imbalanced data, where the positive samples represent only a small proportion compared to the negative samples, makes it challenging for classification problems to balance the fals…