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The Shapley value, which is arguably the most popular approach for assigning a meaningful contribution value to players in a cooperative game, has recently been used intensively in explainable artificial intelligence.
A value for n-person games
L. S. Shapley · 1953
Earlier work this paper cites.
Negative moments of positive random variables
M. T. Chao and W. E. Strawderman · 1972
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Multilinear extensions of games
Guillermo Owen · 1972
Earlier work this paper cites.
On the complexity of cooperative solution concepts
Xiaotie Deng and Christos H. Papadimitriou · 1994
Earlier work this paper cites.
Feature selection via coalitional game theory
Shay B. Cohen, Gideon Dror, and Eytan Ruppin · 2007
Earlier work this paper cites.
Polynomial calculation of the shapley value based on sampling
Javier Castro, Daniel Gómez, and Juan Tejada · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts · 2011
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SLIC superpixels compared to state-of-the-art superpixel methods
Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurélien Lucchi, Pascal Fua, and Sabine Süsstrunk · 2012
Earlier work this paper cites.
Bounding the estimation error of sampling-based shapley value approximation with/without stratifying
Sasan Maleki, Long Tran-Thanh, Greg Hines, Talal Rahwan, and Alex Rogers · 2013
Earlier work this paper cites.
Approximating the Shapley Value via Multi-Issue Decompositions
Hossein Azari Soufiani, David Maxwell Chickering, Denis Xavier Charles, and David C. Parkes · 2014
Earlier work this paper cites.
Shapley value estimation for compensation of participants in demand response programs
Gearóid O’Brien, Abbas El Gamal, and Ram Rajagopal · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Simulation and the Monte Carlo Method
Reuven Y Rubinstein and Dirk P Kroese · 2016
Cited alongside, same era.
Improving polynomial estimation of the shapley value by stratified random sampling with optimum allocation
Javier Castro, Daniel Gómez, Elisenda Molina, and Juan Tejada · 2017
Cited alongside, same era.
A unified approach to interpreting model predictions
Scott M. Lundberg and Su-In Lee · 2017
Cited alongside, same era.
A new approximation method for the shapley value applied to the wtc 9/11 terrorist attack
Tjeerd van Campen, Herbert Hamers, Bart Husslage, and Roy Lindelauf · 2018
Cited alongside, same era.
Explaining deep neural networks with a polynomial time algorithm for shapley value approximation
Neuron shapley: Discovering the responsible neurons
Amirata Ghorbani and James Y. Zou · 2020
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A multilinear sampling algorithm to estimate shapley values
Ramin Okhrati and Aldo Lipani · 2020
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A projected stochastic gradient algorithm for estimating shapley value applied in attribute importance
Grah Simon and Thouvenot Vincent · 2020
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A bayesian monte carlo method for computing the shapley value: Application to weighted voting and bin packing games
Sofiane Touati, Mohammed Said Radjef, and Lakhdar Sais · 2020
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Approximating the shapley value using stratified empirical bernstein sampling
Mark Alexander Burgess and Archie C. Chapman · 2021
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Improving kernelshap: Practical shapley value estimation using linear regression
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Marco Ancona, Cengiz Öztireli, and Markus H. Gross · 2019
Cited alongside, same era.
Shapley value approximation with divisive clustering
Kevin Corder and Keith Decker · 2019
Cited alongside, same era.
Shapley feature utility
Ian Covert, Scott Lundberg, and Su-In Lee · 2019
Cited alongside, same era.
Data shapley: Equitable valuation of data for machine learning
Amirata Ghorbani and James Y. Zou · 2019
Cited alongside, same era.
Estimation of the shapley value by ergodic sampling
Ferenc Illés and Péter Kerényi · 2019
Cited alongside, same era.
Antithetic and monte carlo kernel estimators for partial rankings
Maria Lomeli, Mark Rowland, Arthur Gretton, and Zoubin Ghahramani · 2019
Cited alongside, same era.
Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
Cited alongside, same era.
Ian Covert and Su-In Lee · 2021
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The shapley value of classifiers in ensemble games
Benedek Rozemberczki and Rik Sarkar · 2021
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Core, shapley value, nucleolus and nash bargaining solution: A survey of recent developments and applications in operations management
Chunlin Luo, Xiaoyang Zhou, and Benjamin Lev · 2022
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Sampling permutations for shapley value estimation
Rory Mitchell, Joshua Cooper, Eibe Frank, and Geoffrey Holmes · 2022
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The shapley value in machine learning
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, and Rik Sarkar · 2022
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Algorithms to estimate shapley value feature attributions
Hugh Chen, Ian C. Covert, Scott M. Lundberg, and Su-In Lee · 2023
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Data banzhaf: A robust data valuation framework for machine learning
Jiachen T. Wang and Ruoxi Jia · 2023
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