11 citations · 14 across the 4 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018
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…
cs.LG2018
FairGAN: Fairness-aware Generative Adversarial Networks
Depeng Xu, Shuhan Yuan, Lu Zhang +1
Fairness-aware learning is increasingly important in data mining. Discrimination prevention aims to prevent discrimination in the training data before it is used to conduct predict…
cs.LG2018
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…