Hooker, Giles

9 publications

NeurIPS 2025 Statistical Inference for Gradient Boosting Regression Haimo Fang, Kevin Tan, Giles Hooker

UAI 2025 Statistical Significance of Feature Importance Rankings Jeremy Goldwasser, Giles Hooker

UAI 2025 Targeted Learning for Variable Importance Xiaohan Wang, Yunzhe Zhou, Giles Hooker

MLJ 2024 A Generic Approach for Reproducible Model Distillation Yunzhe Zhou, Peiru Xu, Giles Hooker

MLJ 2023 Considerations When Learning Additive Explanations for Black-Box Models Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo, Rich Caruana

JMLR 2022 Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution Yichen Zhou, Giles Hooker

JMLR 2021 V-Statistics and Variance Estimation Zhengze Zhou, Lucas Mentch, Giles Hooker

AISTATS 2020 Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models Benjamin Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana

JMLR 2016 Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests Lucas Mentch, Giles Hooker