Co-occurring keywords · papers mentioning both
Papers
Variable Importance in High-Dimensional Settings Requires Grouping
AAAI 2024
Statistically Valid Variable Importance Assessment through Conditional Permutations
NeurIPS 2023
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance
AAAI 2022
Feature Importance Explanations for Temporal Black-Box Models
AAAI 2022
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
JMLR 2019