New Study Proposes Synthetic Data Augmentation to Reduce Fairness Disparities Under Data Imbalance
A new arXiv paper presents theory and an adaptive allocation method for using synthetic data augmentation to address fairness disparities caused by imbalanced sensitive groups and class labels in classification.
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- 2026-11-13 05:00 · arXiv stat.ML
Synthetic Data Augmentation for Fairness under Data Imbalance: Theory and Adaptive Allocation