FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition

ArXi:2604.19357v1 Announce Type: new The evaluation of machine learning models typically relies mainly on performance metrics based on loss functions, which risk to overlook changes in performance in relevant subgroups. Auditing tools such as SliceFinder and SliceLine were proposed to detect such groups, but usually have conceptual disadvantages, such as the inability to directly address continuous covariates. In this paper, we