3 papers
cs.LG2026
Measuring Model-Induced Discrimination via Efficient Fairness Approximation
Yijun Bian, Yujie Luo
Providing various machine learning (ML) applications in the real world, concerns about discrimination hidden in ML models are growing, particularly in high-stakes domains. Existing…
cs.LG2026
Improving Fairness with Ensemble Combination: Margin-Dependent Bounds
Yijun Bian
The concern about hidden discrimination in machine learning models is growing, as their widespread real-world applications increasingly impact human lives. Various techniques, incl…
cs.LG2025
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
Yijun Bian, Yujie Luo, Ping Xu
Discrimination mitigation within machine learning (ML) models could be complicated because multiple factors may be interwoven hierarchically and historically. Yet few existing fair…