106 citations · 142 across the 14 of their papers we have counts for
4 papers · 1 filter
S-LIME: Stabilized-LIME for Model Explanation
Zhengze Zhou, Giles Hooker, Fei Wang
An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are…
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Xilei Zhao, Zhengze Zhou, Xiang Yan +1
Machine learning has proved to be very successful for making predictions in travel behavior modeling. However, most machine-learning models have complex model structures and offer…
Unbiased Measurement of Feature Importance in Tree-Based Methods
Zhengze Zhou, Giles Hooker
We propose a modification that corrects for split-improvement variable importance measures in Random Forests and other tree-based methods. These methods have been shown to be biase…
Approximation Trees: Statistical Stability in Model Distillation
Yichen Zhou, Zhengze Zhou, Giles Hooker
This paper examines the stability of learned explanations for black-box predictions via model distillation with decision trees. One approach to intelligibility in machine learning…