3 papers
cs.LG2026
Individual Fairness via Local Predictive Consistency
Zhouting Zhao, Tin Lok James Ng
Individual fairness in machine learning requires that similar individuals receive similar predictions. Most existing definitions are pairwise in nature, imposing a Lipschitz constr…
q-bio.QM2026
A Novel Multi-view Mixture Model Framework for Longitudinal Clustering with Application to ANCA-Associated Vasculitis
Shen Jia, David Selby, Mark A Little +1
Effectively modeling irregularly sampled longitudinal data is essential for understanding disease progression and improving risk prediction. We propose a two-view mixture model tha…
cs.LG2026
A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
Zhouting Zhao, Tin Lok James Ng
Striking an optimal balance between predictive performance and fairness continues to be a fundamental challenge in machine learning. In this work, we propose a post-processing fram…