BriefGPT.xyz
Aug, 2024
通过重加权提升公平性：实现充足性规则的路径
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
HTML
PDF
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
TL;DR
本研究针对模型训练中的经验风险最小化过程，提出了一种通过重加权训练数据来提升公平性的创新方法，旨在确保最优预测器在不同子群体之间的一致性。研究表明，该方法在提升预测性能与公平性指标之间的平衡方面，具有显著的效果和鲁棒性。
Abstract
We introduce an innovative approach to enhancing the
Empirical Risk Minimization
(ERM) process in model training through a refined
Reweighting
scheme of the training data to enhance
→