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2006.09481
Cited By
Efficient nonparametric statistical inference on population feature importance using Shapley values
16 June 2020
B. Williamson
Jean Feng
FAtt
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Papers citing
"Efficient nonparametric statistical inference on population feature importance using Shapley values"
50 / 53 papers shown
Inference on Local Variable Importance Measures for Heterogeneous Treatment Effects
Pawel Morzywolek
Peter B. Gilbert
Alex Luedtke
CML
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
268
1
0
14 Oct 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill
Brian L. Hill
A. Masoomi
Vijay S. Nori
Robert E. Tillman
Jennifer Dy
FAtt
370
0
0
16 Jul 2025
Does It Make Sense to Speak of Introspection in Large Language Models?
Iulia M. Comsa
Murray Shanahan
LRM
337
3
0
05 Jun 2025
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
Martin Jullum
Lars Henry Berge Olsen
Jon Lachmann
Annabelle Redelmeier
TDI
FAtt
447
9
0
02 Apr 2025
A Comprehensive Study of Shapley Value in Data Analytics
Proceedings of the VLDB Endowment (PVLDB), 2024
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
884
4
0
02 Dec 2024
Targeted Learning for Variable Importance
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Xiaohan Wang
Yunzhe Zhou
Giles Hooker
255
0
0
04 Nov 2024
Optimal ablation for interpretability
Neural Information Processing Systems (NeurIPS), 2024
Maximilian Li
Lucas Janson
FAtt
451
17
0
16 Sep 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
450
0
0
16 Jun 2024
Data Science Principles for Interpretable and Explainable AI
Journal of Data Science (JDS), 2024
Kris Sankaran
FaML
379
6
0
17 May 2024
XPose: eXplainable Human Pose Estimation
Luyu Qiu
Jianing Li
Lei Wen
Chi Su
Fei Hao
C. Zhang
Lei Chen
256
1
0
19 Mar 2024
A hierarchical decomposition for explaining ML performance discrepancies
Jean Feng
Harvineet Singh
Fan Xia
Adarsh Subbaswamy
Alexej Gossmann
CML
294
4
0
22 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
Neural Information Processing Systems (NeurIPS), 2024
Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
TDI
355
17
0
29 Jan 2024
Factor Importance Ranking and Selection using Total Indices
Chaofan Huang
V. R. Joseph
538
3
0
01 Jan 2024
Efficient Shapley Performance Attribution for Least-Squares Regression
Statistics and computing (Stat. Comput.), 2023
Logan Bell
Nikhil Devanathan
Stephen Boyd
TDI
FAtt
455
2
0
30 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
596
34
0
24 Sep 2023
Is this model reliable for everyone? Testing for strong calibration
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jean Feng
Alexej Gossmann
Romain Pirracchio
N. Petrick
Gene Pennello
B. Sahiner
270
6
0
28 Jul 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
Neural Information Processing Systems (NeurIPS), 2023
David S. Watson
Joshua O'Hara
Niek Tax
Richard Mudd
Ido Guy
TDI
FAtt
357
43
0
09 Jun 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them
Data mining and knowledge discovery (DMKD), 2023
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
FAtt
244
31
0
16 May 2023
Feature Importance: A Closer Look at Shapley Values and LOCO
Statistical Science (Statist. Sci.), 2023
I. Verdinelli
Larry A. Wasserman
FAtt
TDI
368
50
0
10 Mar 2023
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
Neural Information Processing Systems (NeurIPS), 2023
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
551
57
0
02 Mar 2023
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features
Joris Pries
Guus Berkelmans
Sandjai Bhulai
R. V. D. Mei
FAtt
301
1
0
11 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
Shapley Curves: A Smoothing Perspective
Social Science Research Network (SSRN), 2022
Ratmir Miftachov
Georg Keilbar
Wolfgang Karl Härdle
FAtt
487
3
0
23 Nov 2022
Unifying local and global model explanations by functional decomposition of low dimensional structures
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
M. Hiabu
Josephine T. Meyer
Marvin N. Wright
FAtt
440
27
0
12 Aug 2022
A Computational Exploration of Emerging Methods of Variable Importance Estimation
Louis Mozart Kamdem
Ernest Fokoue
FAtt
197
0
0
05 Aug 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
378
7
0
19 Jul 2022
Algorithms to estimate Shapley value feature attributions
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDI
FAtt
339
401
0
15 Jul 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
International Conference on Machine Learning (ICML), 2022
Jinkun Lin
Anqi Zhang
Mathias Lécuyer
Jinyang Li
Aurojit Panda
S. Sen
TDI
FedML
258
70
0
20 Jun 2022
LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
UQCV
FAtt
481
10
0
05 Jun 2022
Differentially Private Shapley Values for Data Evaluation
Lauren Watson
R. Andreeva
Hao Yang
Rik Sarkar
TDI
FAtt
FedML
322
10
0
01 Jun 2022
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Joseph Janssen
Vincent Guan
Elina Robeva
425
11
0
21 Apr 2022
Flexible variable selection in the presence of missing data
The International Journal of Biostatistics (IJB), 2022
Brian D. Williamson
Ying Huang
417
1
0
25 Feb 2022
The Shapley Value in Machine Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
420
331
0
11 Feb 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Journal of machine learning research (JMLR), 2021
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDI
FAtt
341
25
0
26 Nov 2021
Decorrelated Variable Importance
Journal of machine learning research (JMLR), 2021
I. Verdinelli
Larry A. Wasserman
FAtt
269
31
0
21 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Knowledge-Based Systems (KBS), 2021
Waddah Saeed
C. Omlin
XAI
336
639
0
11 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
320
11
0
05 Nov 2021
Joint Shapley values: a measure of joint feature importance
International Conference on Learning Representations (ICLR), 2021
Chris Harris
Richard Pymar
C. Rowat
FAtt
TDI
188
32
0
23 Jul 2021
FastSHAP: Real-Time Shapley Value Estimation
International Conference on Learning Representations (ICLR), 2021
Hao Zhang
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
493
183
0
15 Jul 2021
Accurate Shapley Values for explaining tree-based models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Salim I. Amoukou
Nicolas Brunel
Tangi Salaun
TDI
FAtt
312
20
0
07 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
International Conference on Learning Representations (ICLR), 2021
Yatao Bian
Yu Rong
Qifeng Bai
Jiaxiang Wu
Andreas Krause
Junzhou Huang
526
17
0
05 Jun 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Clément Bénard
Gérard Biau
Sébastien Da Veiga
Erwan Scornet
FAtt
407
39
0
25 May 2021
Explaining a Series of Models by Propagating Shapley Values
Nature Communications (Nat Commun), 2021
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDI
FAtt
422
219
0
30 Apr 2021
Grouped Feature Importance and Combined Features Effect Plot
Data mining and knowledge discovery (DMKD), 2021
Quay Au
J. Herbinger
Clemens Stachl
J. Herbinger
Giuseppe Casalicchio
FAtt
355
67
0
23 Apr 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Queue (ACM Queue), 2021
Valerie Chen
Jeffrey Li
Joon Sik Kim
Gregory Plumb
Ameet Talwalkar
303
34
0
10 Mar 2021
The Shapley Value of Classifiers in Ensemble Games
International Conference on Information and Knowledge Management (CIKM), 2021
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
392
41
0
06 Jan 2021
Explaining by Removing: A Unified Framework for Model Explanation
Journal of machine learning research (JMLR), 2020
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
519
333
0
21 Nov 2020
Feature Removal Is a Unifying Principle for Model Explanation Methods
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
450
40
0
06 Nov 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
J. Herbinger
AI4TS
AI4CE
449
497
0
19 Oct 2020
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