17 citations · 21 across the 9 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2021★ 1 cited
The Sharpe predictor for fairness in machine learning
Suyun Liu, Luis Nunes Vicente
In machine learning (ML) applications, unfair predictions may discriminate against a minority group. Most existing approaches for fair machine learning (FML) treat fairness as a co…
cs.LG2021
A Stochastic Alternating Balance -Means Algorithm for Fair Clustering
Suyun Liu, Luis Nunes Vicente
In the application of data clustering to human-centric decision-making systems, such as loan applications and advertisement recommendations, the clustering outcome might discrimina…
cs.LG2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
Suyun Liu, Luis Nunes Vicente
In the application of machine learning to real-life decision-making systems, e.g., credit scoring and criminal justice, the prediction outcomes might discriminate against people wi…