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A Comprehensive Study of Shapley Value in Data Analytics
v1v2v3v4v5 (latest)

A Comprehensive Study of Shapley Value in Data Analytics

Proceedings of the VLDB Endowment (PVLDB), 2024
2 December 2024
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "A Comprehensive Study of Shapley Value in Data Analytics"

50 / 65 papers shown
FedSV: Byzantine-Robust Federated Learning via Shapley Value
FedSV: Byzantine-Robust Federated Learning via Shapley Value
Khaoula Otmani
Rachid Elazouzi
Vincent Labatut
FedMLAAML
467
11
0
24 Feb 2025
Feature Inference Attack on Shapley Values
Feature Inference Attack on Shapley Values
Xinjian Luo
Yangfan Jiang
X. Xiao
AAMLFAtt
327
34
0
16 Jul 2024
Redefining Contributions: Shapley-Driven Federated Learning
Redefining Contributions: Shapley-Driven Federated Learning
Nurbek Tastan
Samar Fares
Toluwani Aremu
Samuel Horváth
Karthik Nandakumar
FedML
238
18
0
01 Jun 2024
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Jiachen T. Wang
Tianji Yang
James Zou
Yongchan Kwon
Ruoxi Jia
TDI
360
23
0
06 May 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative
  Perspective
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
Ningsheng Zhao
Jia Yuan Yu
Krzysztof Dzieciolowski
Trang Bui
TDIFAtt
391
2
0
21 Apr 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions
  for Tree Ensembles
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree EnsemblesAAAI Conference on Artificial Intelligence (AAAI), 2024
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
TDI
354
32
0
22 Jan 2024
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to
  Data Valuation
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
Jiachen T. Wang
Yuqing Zhu
Yu Wang
R. Jia
Prateek Mittal
TDI
410
24
0
30 Aug 2023
Explaining Reinforcement Learning with Shapley Values
Explaining Reinforcement Learning with Shapley ValuesInternational Conference on Machine Learning (ICML), 2023
Daniel Beechey
Thomas M. S. Smith
Özgür Simsek
TDIFAtt
272
38
0
09 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning
Fair yet Asymptotically Equal Collaborative LearningInternational Conference on Machine Learning (ICML), 2023
Xiaoqiang Lin
Xinyi Xu
See-Kiong Ng
Chuan-Sheng Foo
Bryan Kian Hsiang Low
FedML
227
14
0
09 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley
  Values
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesNeural Information Processing Systems (NeurIPS), 2023
David S. Watson
Joshua O'Hara
Niek Tax
Richard Mudd
Ido Guy
TDIFAtt
350
43
0
09 Jun 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
DU-Shapley: A Shapley Value Proxy for Efficient Dataset ValuationNeural Information Processing Systems (NeurIPS), 2023
Felipe Garrido-Lucero
Benjamin Heymann
Maxime Vono
Patrick Loiseau
Vianney Perchet
FedMLTDI
381
12
0
03 Jun 2023
A feature selection method based on Shapley values robust to concept
  shift in regression
A feature selection method based on Shapley values robust to concept shift in regression
Carlos Sebastián
Carlos E. González-Guillén
308
16
0
28 Apr 2023
Approximating the Shapley Value without Marginal Contributions
Approximating the Shapley Value without Marginal ContributionsAAAI Conference on Artificial Intelligence (AAAI), 2023
Patrick Kolpaczki
Viktor Bengs
Maximilian Muschalik
Eyke Hüllermeier
FAttTDI
675
43
0
01 Feb 2023
CS-Shapley: Class-wise Shapley Values for Data Valuation in
  Classification
CS-Shapley: Class-wise Shapley Values for Data Valuation in ClassificationNeural Information Processing Systems (NeurIPS), 2022
S. Schoch
Haifeng Xu
Yangfeng Ji
TDI
272
48
0
13 Nov 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
WeightedSHAP: analyzing and improving Shapley based feature attributionsNeural Information Processing Systems (NeurIPS), 2022
Yongchan Kwon
James Zou
TDIFAtt
319
56
0
27 Sep 2022
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on
  Shapley Value
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley ValueEuropean Conference on Computer Vision (ECCV), 2022
Quan Zheng
Ziwei Wang
Jie Zhou
Jiwen Lu
FAtt
209
54
0
07 Aug 2022
Algorithms to estimate Shapley value feature attributions
Algorithms to estimate Shapley value feature attributionsNature Machine Intelligence (Nat. Mach. Intell.), 2022
Hugh Chen
Ian Covert
Scott M. Lundberg
Su-In Lee
TDIFAtt
338
395
0
15 Jul 2022
Differentially Private Shapley Values for Data Evaluation
Differentially Private Shapley Values for Data Evaluation
Lauren Watson
R. Andreeva
Hao Yang
Rik Sarkar
TDIFAttFedML
322
10
0
01 Jun 2022
The Shapley Value in Machine Learning
The Shapley Value in Machine LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDIFAtt
416
331
0
11 Feb 2022
Few-shot Backdoor Defense Using Shapley Estimation
Few-shot Backdoor Defense Using Shapley EstimationComputer Vision and Pattern Recognition (CVPR), 2021
Jiyang Guan
Zhuozhuo Tu
Xiao-Yu Zhang
Dacheng Tao
AAML
340
66
0
30 Dec 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive
  Models with Dependent Mixed Features
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed FeaturesJournal of machine learning research (JMLR), 2021
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDIFAtt
341
25
0
26 Nov 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Game of Gradients: Mitigating Irrelevant Clients in Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Lokesh Nagalapatti
Mahdi S. Hosseini
FedML
251
104
0
23 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent
  Contribution in Multiagent Reinforcement Learning with Shapley Values
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
285
85
0
04 Oct 2021
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees
Jilei Yang
FAtt
441
59
0
20 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation
  in Federated Learning
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
Yuanyuan Chen
Han Yu
Yang Liu
Li-zhen Cui
FedMLTDI
259
190
0
05 Sep 2021
FastSHAP: Real-Time Shapley Value Estimation
FastSHAP: Real-Time Shapley Value EstimationInternational Conference on Learning Representations (ICLR), 2021
Hao Zhang
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDIFAtt
489
183
0
15 Jul 2021
Is Shapley Value fair? Improving Client Selection for Mavericks in
  Federated Learning
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Jiyue Huang
Chi Hong
L. Chen
Stefanie Roos
FedML
173
12
0
20 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Shapley Counterfactual Credits for Multi-Agent Reinforcement LearningKnowledge Discovery and Data Mining (KDD), 2021
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Leilei Gan
Jun Xiao
OffRL
425
84
0
01 Jun 2021
Explaining a Series of Models by Propagating Shapley Values
Explaining a Series of Models by Propagating Shapley ValuesNature Communications (Nat Commun), 2021
Hugh Chen
Scott M. Lundberg
Su-In Lee
TDIFAtt
419
219
0
30 Apr 2021
Sampling Permutations for Shapley Value Estimation
Sampling Permutations for Shapley Value EstimationJournal of machine learning research (JMLR), 2021
Rory Mitchell
Joshua N. Cooper
E. Frank
G. Holmes
358
180
0
25 Apr 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
FAtt
323
123
0
18 Apr 2021
Data Shapley Valuation for Efficient Batch Active Learning
Data Shapley Valuation for Efficient Batch Active LearningAsilomar Conference on Signals, Systems and Computers (ACSSC), 2021
Amirata Ghorbani
James Zou
A. Esteva
TDI
202
44
0
16 Apr 2021
Shapley Explanation Networks
Shapley Explanation NetworksInternational Conference on Learning Representations (ICLR), 2021
Rui Wang
Xiaoqian Wang
David I. Inouye
TDIFAtt
333
58
0
06 Apr 2021
Shapley values for feature selection: The good, the bad, and the axioms
Shapley values for feature selection: The good, the bad, and the axiomsIEEE Access (IEEE Access), 2021
D. Fryer
Inga Strümke
Hien Nguyen
FAttTDI
328
276
0
22 Feb 2021
Explaining predictive models using Shapley values and non-parametric
  vine copulas
Explaining predictive models using Shapley values and non-parametric vine copulasDependence Modeling (DM), 2021
K. Aas
T. Nagler
Martin Jullum
Anders Løland
FAtt
156
22
0
12 Feb 2021
Transparent Contribution Evaluation for Secure Federated Learning on
  Blockchain
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Shuaicheng Ma
Yang Cao
L. Xiong
FedML
287
47
0
26 Jan 2021
The Shapley Value of Classifiers in Ensemble Games
The Shapley Value of Classifiers in Ensemble GamesInternational Conference on Information and Knowledge Management (CIKM), 2021
Benedek Rozemberczki
Rik Sarkar
FAttFedMLTDI
391
41
0
06 Jan 2021
Improving KernelSHAP: Practical Shapley Value Estimation via Linear
  Regression
Improving KernelSHAP: Practical Shapley Value Estimation via Linear RegressionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ian Covert
Su-In Lee
FAtt
550
237
0
02 Dec 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
An Exploratory Analysis on Users' Contributions in Federated LearningInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2020
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
298
39
0
13 Nov 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model RewardsInternational Conference on Machine Learning (ICML), 2020
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
384
158
0
24 Oct 2020
A Multilinear Sampling Algorithm to Estimate Shapley Values
A Multilinear Sampling Algorithm to Estimate Shapley Values
Ramin Okhrati
Aldo Lipani
TDIFAtt
334
58
0
22 Oct 2020
A Principled Approach to Data Valuation for Federated Learning
A Principled Approach to Data Valuation for Federated Learning
Tianhao Wang
Johannes Rausch
Ce Zhang
R. Jia
Basel Alomair
FedMLTDI
279
255
0
14 Sep 2020
A Survey on Data Pricing: from Economics to Data Science
A Survey on Data Pricing: from Economics to Data ScienceIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jian Pei
411
162
0
09 Sep 2020
Predictive and Causal Implications of using Shapley Value for Model
  Interpretation
Predictive and Causal Implications of using Shapley Value for Model Interpretation
Sisi Ma
R. Tourani
FAttTDI
143
44
0
12 Aug 2020
A Survey of Privacy Attacks in Machine Learning
A Survey of Privacy Attacks in Machine LearningACM Computing Surveys (ACM CSUR), 2020
M. Rigaki
Sebastian Garcia
PILMAAML
411
315
0
15 Jul 2020
Efficient computation and analysis of distributional Shapley values
Efficient computation and analysis of distributional Shapley values
Yongchan Kwon
Manuel A. Rivas
James Zou
FAttTDI
544
70
0
02 Jul 2020
Explaining predictive models with mixed features using Shapley values
  and conditional inference trees
Explaining predictive models with mixed features using Shapley values and conditional inference trees
Annabelle Redelmeier
Martin Jullum
K. Aas
FAttTDI
303
25
0
02 Jul 2020
True to the Model or True to the Data?
True to the Model or True to the Data?
Hugh Chen
Joseph D. Janizek
Scott M. Lundberg
Su-In Lee
TDIFAtt
363
194
0
29 Jun 2020
Efficient nonparametric statistical inference on population feature
  importance using Shapley values
Efficient nonparametric statistical inference on population feature importance using Shapley values
B. Williamson
Jean Feng
FAtt
279
84
0
16 Jun 2020
Shapley explainability on the data manifold
Shapley explainability on the data manifoldInternational Conference on Learning Representations (ICLR), 2020
Christopher Frye
Damien de Mijolla
T. Begley
Laurence Cowton
Megan Stanley
Ilya Feige
FAttTDI
520
124
0
01 Jun 2020
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