Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach

Zhimeng Jiang, Xiaotian Han, Hongye Jin +4

Fairness in machine learning has attracted increasing attention in recent years. The fairness methods improving algorithmic fairness for in-distribution data may not perform well u…