Approximation Trees: Statistical Stability in Model Distillation. - Yichen Zhou; Zhengze Zhou; Giles Hooker (CoRR, 2018)

Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. - Xilei Zhao; Zhengze Zhou; Xiang Yan; Pascal Van Hentenryck (CoRR, 2019)

Asymptotic Normality and Variance Estimation For Supervised Ensembles. - Zhengze Zhou; Lucas Mentch; Giles Hooker (CoRR, 2019)

S-LIME: Stabilized-LIME for Model Explanation. - Zhengze Zhou; Giles Hooker; Fei Wang 001 (KDD, 2021)

V-statistics and Variance Estimation. - Zhengze Zhou; Lucas Mentch; Giles Hooker (J. Mach. Learn. Res., 2021)

Unbiased Measurement of Feature Importance in Tree-Based Methods. - Zhengze Zhou; Giles Hooker (ACM Trans. Knowl. Discov. Data, 2021)

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning. - Xiaojian Zhang; Xiang Yan; Zhengze Zhou; Yiming Xu; Xilei Zhao (CoRR, 2022)

Approximation trees: statistical reproducibility in model distillation. - Yichen Zhou; Zhengze Zhou; Giles Hooker (Data Min. Knowl. Discov., 2024)