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Zhengze Zhou
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2020 – today
- 2024
- [j3]Yichen Zhou, Zhengze Zhou, Giles Hooker:
Approximation trees: statistical reproducibility in model distillation. Data Min. Knowl. Discov. 38(5): 3308-3346 (2024) - 2022
- [i6]Xiaojian Zhang, Xiang Yan
, Zhengze Zhou, Yiming Xu, Xilei Zhao:
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning. CoRR abs/2209.07980 (2022) - 2021
- [j2]Zhengze Zhou, Lucas Mentch, Giles Hooker:
V-statistics and Variance Estimation. J. Mach. Learn. Res. 22: 287:1-287:48 (2021) - [j1]Zhengze Zhou, Giles Hooker:
Unbiased Measurement of Feature Importance in Tree-Based Methods. ACM Trans. Knowl. Discov. Data 15(2): 26:1-26:21 (2021) - [c1]Zhengze Zhou, Giles Hooker, Fei Wang:
S-LIME: Stabilized-LIME for Model Explanation. KDD 2021: 2429-2438 - [i5]Zhengze Zhou, Giles Hooker, Fei Wang:
S-LIME: Stabilized-LIME for Model Explanation. CoRR abs/2106.07875 (2021)
2010 – 2019
- 2019
- [i4]Zhengze Zhou, Giles Hooker:
Unbiased Measurement of Feature Importance in Tree-Based Methods. CoRR abs/1903.05179 (2019) - [i3]Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck:
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. CoRR abs/1910.13930 (2019) - [i2]Zhengze Zhou, Lucas Mentch, Giles Hooker:
Asymptotic Normality and Variance Estimation For Supervised Ensembles. CoRR abs/1912.01089 (2019) - 2018
- [i1]Yichen Zhou
, Zhengze Zhou, Giles Hooker:
Approximation Trees: Statistical Stability in Model Distillation. CoRR abs/1808.07573 (2018)
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