Fair and Optimal Prediction via Post-Processing
PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1609/aaai.v38i20.30302 ↗
摘要
In this talk I will discuss our recent work on characterizing the inherent tradeoff between fairness and accuracy in both classification and regression problems. I will also present a post-processing algorithm that derives optimal fair predictors from Bayes score functions.