Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach

no code implementations • 20 Feb 2024 • Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

A fair classifier should ensure the benefit of people from different groups, while the group information is often sensitive and unsuitable for model training.

Attribute Fairness