Fairness-Aware Meta-Learning via Nash Bargaining

Yi Zeng, Xuelin Yang, Li Chen +4

To address issues of group-level fairness in machine learning, it is natural to adjust model parameters based on specific fairness objectives over a sensitive-attributed validation…