43 citations · 43 across the 2 of their papers we have counts for
4 papers
Fairness through Equality of Effort
Wen Huang, Yongkai Wu, Lu Zhang +1
Fair machine learning is receiving an increasing attention in machine learning fields. Researchers in fair learning have developed correlation or association-based measures such as…
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu, Lu Zhang, Xintao Wu +1
A recent trend of fair machine learning is to define fairness as causality-based notions which concern the causal connection between protected attributes and decisions. However, on…
Fairness-aware Classification: Criterion, Convexity, and Bounds
Yongkai Wu, Lu Zhang, Xintao Wu
Fairness-aware classification is receiving increasing attention in the machine learning fields. Recently research proposes to formulate the fairness-aware classification as constra…
On Discrimination Discovery and Removal in Ranked Data using Causal Graph
Yongkai Wu, Lu Zhang, Xintao Wu
Predictive models learned from historical data are widely used to help companies and organizations make decisions. However, they may digitally unfairly treat unwanted groups, raisi…