2 papers
cs.DB2026
Fair Data Pre-Processing with Imperfect Attribute Space
Ying Zheng, Yangfan Jiang, Kian-Lee Tan
Fair data pre-processing is a widely used strategy for mitigating bias in machine learning. A promising line of research focuses on calibrating datasets to satisfy a designed fairn…
cs.LG2026
CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness
Ying Zheng, Yangfan Jiang, Kian-Lee Tan
Causal fairness in databases is crucial to preventing biased and inaccurate outcomes in downstream tasks. While most prior work assumes a known causal model, recent efforts relax t…