no code implementations • 16 Sep 2022 • Xiaojian Zhang, Xiang Yan, Zhengze Zhou, Yiming Xu, Xilei Zhao
The growing significance of ridesourcing services in recent years suggests a need to examine the key determinants of ridesourcing demand.
2 code implementations • 15 Jun 2021 • 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.
1 code implementation • 2 Dec 2019 • Zhengze Zhou, Lucas Mentch, Giles Hooker
This paper develops a general framework for analyzing asymptotics of $V$-statistics.
no code implementations • 30 Oct 2019 • Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck
Furthermore, the paper provides a comprehensive comparison of student models with the benchmark model (decision tree) and the teacher model (gradient boosting trees) to quantify the fidelity and accuracy of the students' interpretations.
1 code implementation • 12 Mar 2019 • Zhengze Zhou, Giles Hooker
We propose a modification that corrects for split-improvement variable importance measures in Random Forests and other tree-based methods.
no code implementations • 22 Aug 2018 • Yichen Zhou, Zhengze Zhou, Giles Hooker
Here, we consider the use of regression trees as a student model, in which nodes of the tree can be used as `explanations' for particular predictions, and the whole structure of the tree can be used as a global representation of the resulting function.