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2004.03683
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A general framework for inference on algorithm-agnostic variable importance
Journal of the American Statistical Association (JASA), 2020
7 April 2020
B. Williamson
P. Gilbert
N. Simon
M. Carone
FAtt
CML
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Papers citing
"A general framework for inference on algorithm-agnostic variable importance"
32 / 32 papers shown
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
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Inference on Local Variable Importance Measures for Heterogeneous Treatment Effects
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Peter B. Gilbert
Alex Luedtke
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201
1
0
21 Oct 2025
Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect
Jon Donnelly
Srikar Katta
Emanuele Borgonovo
Cynthia Rudin
FAtt
CML
269
1
0
14 Oct 2025
Diffusion-Driven High-Dimensional Variable Selection
Minjie Wang
Xiaotong Shen
Wei Pan
289
0
0
19 Aug 2025
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
Chenghui Zheng
Garvesh Raskutti
135
0
0
19 Aug 2025
Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
Information Processing in Medical Imaging (IPMI), 2025
Joseph Paillard
Antoine Collas
Denis A. Engemann
Bertrand Thirion
196
0
0
12 Aug 2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Houssam Zenati
Judith Abécassis
Julie Josse
Bertrand Thirion
210
1
0
08 Mar 2025
Deep Nonparametric Conditional Independence Tests for Images
Marco Simnacher
Xiangnan Xu
Hani Park
Christoph Lippert
Sonja Greven
284
1
0
09 Nov 2024
Targeted Learning for Variable Importance
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Xiaohan Wang
Yunzhe Zhou
Giles Hooker
257
0
0
04 Nov 2024
Counterfactual explainability and analysis of variance
Zijun Gao
Qingyuan Zhao
CML
281
0
0
03 Nov 2024
General Frameworks for Conditional Two-Sample Testing
Seongchan Lee
Suman Cha
Ilmun Kim
307
3
0
22 Oct 2024
Global Censored Quantile Random Forest
Siyu Zhou
Limin Peng
195
0
0
16 Oct 2024
Model-independent variable selection via the rule-based variable priority
Min Lu
H. Ishwaran
312
3
0
13 Sep 2024
A Guide to Feature Importance Methods for Scientific Inference
F. K. Ewald
Ludwig Bothmann
Marvin N. Wright
J. Herbinger
Giuseppe Casalicchio
Gunnar Konig
300
33
0
19 Apr 2024
Debiased Projected Two-Sample Comparisonscfor Single-Cell Expression Data
Tianyu Zhang
Jing Lei
Kathryn Roeder
280
0
0
08 Mar 2024
Factor Importance Ranking and Selection using Total Indices
Chaofan Huang
V. R. Joseph
544
4
0
01 Jan 2024
Variable Importance in High-Dimensional Settings Requires Grouping
Ahmad Chamma
Bertrand Thirion
Denis A. Engemann
330
12
0
18 Dec 2023
MMD-based Variable Importance for Distributional Random Forest
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Clément Bénard
Jeffrey Näf
Julie Josse
295
3
0
18 Oct 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
Neural Information Processing Systems (NeurIPS), 2023
J. Donnelly
Srikar Katta
Cynthia Rudin
E. Browne
FAtt
603
34
0
24 Sep 2023
Statistically Valid Variable Importance Assessment through Conditional Permutations
Neural Information Processing Systems (NeurIPS), 2023
Ahmad Chamma
Denis A. Engemann
Bertrand Thirion
251
21
0
14 Sep 2023
Nonparametric Assessment of Variable Selection and Ranking Algorithms
Journal of Computational And Graphical Statistics (JCGS), 2023
Zhou Tang
Ted Westling
CML
211
3
0
22 Aug 2023
Variable importance for causal forests: breaking down the heterogeneity of treatment effects
Clément Bénard
Julie Josse
CML
178
9
0
07 Aug 2023
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Annual Review of Statistics and Its Application (ARSIA), 2023
Genevera I. Allen
Luqin Gan
Lili Zheng
316
9
0
02 Aug 2023
Zipper: Addressing degeneracy in algorithm-agnostic inference
Neural Information Processing Systems (NeurIPS), 2023
Geng Chen
Yinxu Jia
Guanghui Wang
Changliang Zou
228
2
0
29 Jun 2023
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
F. R. Guo
Rajen Dinesh Shah
369
18
0
06 Jan 2023
Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring
Hué Sullivan
Hurlin Christophe
Pérignon Christophe
Saurin Sébastien
387
1
0
12 Dec 2022
Nonparametric Estimation of Conditional Incremental Effects
Journal of Causal Inference (JCI), 2022
Alec McClean
Zach Branson
Edward H. Kennedy
CML
388
9
0
07 Dec 2022
Lazy Estimation of Variable Importance for Large Neural Networks
International Conference on Machine Learning (ICML), 2022
Yue Gao
Abby Stevens
Rebecca Willett
Garvesh Raskutti
380
7
0
19 Jul 2022
LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
UQCV
FAtt
487
10
0
05 Jun 2022
Flexible variable selection in the presence of missing data
The International Journal of Biostatistics (IJB), 2022
Brian D. Williamson
Ying Huang
425
1
0
25 Feb 2022
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
Biometrika (Biometrika), 2021
Clément Bénard
Sébastien Da Veiga
Erwan Scornet
381
69
0
26 Feb 2021
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
Journal of machine learning research (JMLR), 2020
L. Mentch
Siyu Zhou
257
20
0
07 Mar 2020
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