Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles

5 June 2022

Papers citing "Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles"

4 / 4 papers shown

Title
Targeted Learning for Variable Importance Xiaohan Wang Yunzhe Zhou Giles Hooker 23 0 0 04 Nov 2024
Distribution-free tests for lossless feature selection in classification and regression László Gyorfi Tamás Linder Harro Walk 10 1 0 08 Nov 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 14 9 0 02 Aug 2023
Cross-conformal predictors V. Vovk 115 194 0 03 Aug 2012