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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.ML2025
Bias-Corrected Data Synthesis for Imbalanced Learning
Pengfei Lyu, Zhengchi Ma, Linjun Zhang +1
Class imbalance complicates probabilistic classification because standard training objectives emphasize majority-class performance. Synthetic oversampling can reduce imbalance, but…