Preprint
Oct 2026
LUCID: Local Understanding of Covariate Importance with Conditional Density Estimation
Computing local-level variable importance (VI) is critical for understanding machine learning models. Local permutation-based VI metrics offer a simple yet powerful approach, measuring how much a model's output changes when perturbing its inputs. However, existing perturbation strategies often ignore feature dependence...
Yi-Xiao Wang, Srikar Katta, Jon Donnelly et al.
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