Giles Hooker

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 41

Top Topics

Hypothesis Test

Experimental Design

Likelihood Ratio Test

Top Venues

J. Mach. Learn. Res.

SIAM/ASA J. Uncertain. Quantification

Publications

Facundo Sapienza, Jordi Bolibar, Frank Schäfer, Brian Groenke, Avik Pal, Victor Boussange, Patrick Heimbach, Giles Hooker, Fernando Pérez, Per-Olof Persson, Christopher Rackauckas
Differentiable Programming for Differential Equations: A Review. CoRR (2024)
Xi Xin, Giles Hooker, Fei Huang
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots. CoRR (2024)
Alexander Asemota, Giles Hooker
Longitudinal Counterfactuals: Constraints and Opportunities. CoRR (2024)
Jeremy Goldwasser, Giles Hooker
Provably Stable Feature Rankings with SHAP and LIME. CoRR (2024)
Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo, Rich Caruana
Considerations when learning additive explanations for black-box models. Mach. Learn. 112 (9) (2023)
Jeremy Goldwasser, Giles Hooker
Stabilizing Estimates of Shapley Values with Control Variates. CoRR (2023)
Giles Hooker, Han Lin Shang
Selecting the derivative of a functional covariate in scalar-on-function regression. Stat. Comput. 32 (3) (2022)
Indrayudh Ghosal, Yunzhe Zhou, Giles Hooker
The Infinitesimal Jackknife and Combinations of Models. CoRR (2022)
Yunzhe Zhou, Peiru Xu, Giles Hooker
A Generic Approach for Statistical Stability in Model Distillation. CoRR (2022)
Yichen Zhou, Giles Hooker
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution. J. Mach. Learn. Res. 23 (2022)
Yichen Zhou, Giles Hooker
Decision tree boosted varying coefficient models. Data Min. Knowl. Discov. 36 (6) (2022)
Zhengze Zhou, Giles Hooker, Fei Wang
S-LIME: Stabilized-LIME for Model Explanation. KDD (2021)
Zhengze Zhou, Lucas Mentch, Giles Hooker
V-statistics and Variance Estimation. J. Mach. Learn. Res. 22 (2021)
Lucas Mentch, Giles Hooker
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning. CoRR (2021)
Zhengze Zhou, Giles Hooker, Fei Wang
S-LIME: Stabilized-LIME for Model Explanation. CoRR (2021)
Indrayudh Ghosal, Giles Hooker
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate. J. Comput. Graph. Stat. 30 (2) (2021)
Giles Hooker, Lucas Mentch, Siyu Zhou
Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance. Stat. Comput. 31 (6) (2021)
Zhengze Zhou, Giles Hooker
Unbiased Measurement of Feature Importance in Tree-Based Methods. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Sarah Tan, Matvey Soloviev, Giles Hooker, Martin T. Wells
Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable. FODS (2020)
Aurya Javeed, Giles Hooker
Timing observations of diffusions. Stat. Comput. 30 (2) (2020)
Benjamin Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. AISTATS (2020)
Giles Hooker, Lucas Mentch
Please Stop Permuting Features: An Explanation and Alternatives. CoRR (2019)
Zhengze Zhou, Lucas Mentch, Giles Hooker
Asymptotic Normality and Variance Estimation For Supervised Ensembles. CoRR (2019)
Benjamin Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models. CoRR (2019)
Zhengze Zhou, Giles Hooker
Unbiased Measurement of Feature Importance in Tree-Based Methods. CoRR (2019)
Leifur Thorbergsson, Giles Hooker
Experimental Design for Partially Observed Markov Decision Processes. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Yuefeng Wu, Giles Hooker
Asymptotic Properties for Methods Combining the Minimum Hellinger Distance Estimate and the Bayesian Nonparametric Density Estimate. Entropy 20 (12) (2018)
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. AIES (2018)
Sarah Tan, Rich Caruana, Giles Hooker, Albert Gordo
Transparent Model Distillation. CoRR (2018)
Indrayudh Ghosal, Giles Hooker
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its Variance Estimate. CoRR (2018)
Yichen Zhou, Zhengze Zhou, Giles Hooker
Approximation Trees: Statistical Stability in Model Distillation. CoRR (2018)
Giles Hooker, Lucas Mentch
Bootstrap bias corrections for ensemble methods. Stat. Comput. 28 (1) (2018)
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou
Detecting Bias in Black-Box Models Using Transparent Model Distillation. CoRR (2017)
Chong Liu, Surajit Ray, Giles Hooker
Functional principal component analysis of spatially correlated data. Stat. Comput. 27 (6) (2017)
Keegan Kang, Giles Hooker
Random Projections with Control Variates. ICPRAM (2017)
Keegan Kang, Giles Hooker
Control Variates as a Variance Reduction Technique for Random Projections. ICPRAM (Revised Selected Papers) (2017)
Giles Hooker, Cliff Hooker
Machine Learning and the Future of Realism. CoRR (2017)
Lucas Mentch, Giles Hooker
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests. J. Mach. Learn. Res. 17 (2016)
Hui Fen Tan, Giles Hooker, Martin T. Wells
Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable. CoRR (2016)
Keegan Kang, Giles Hooker
Improving the recovery of principal components with semi-deterministic random projections. CISS (2016)
Giles Hooker, Steven Roberts
Maximal autocorrelation functions in functional data analysis. Stat. Comput. 26 (5) (2016)
Giles Hooker, Kevin K. Lin, Bruce Rogers
Control Theory and Experimental Design in Diffusion Processes. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Mathew W. McLean, Giles Hooker, David Ruppert
Restricted likelihood ratio tests for linearity in scalar-on-function regression. Stat. Comput. 25 (5) (2015)
Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker
Accurate intelligible models with pairwise interactions. KDD (2013)
Giles Hooker, James O. Ramsay
Learned-loss boosting. Comput. Stat. Data Anal. 56 (12) (2012)
Giles Hooker, Saharon Rosset
Prediction-based regularization using data augmented regression. Stat. Comput. 22 (1) (2012)
Giles Hooker
Discovering additive structure in black box functions. KDD (2004)
Giles Hooker
Diagnosing extrapolation: tree-based density estimation. KDD (2004)