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Shapley values, which were originally designed to assign attributions to individual players in coalition games, have become a commonly used approach in explainable machine learning to provide attributions to input features for black-box machine learning models.
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Guoli Ding, Robert F Lax, Jianhua Chen, Peter P Chen, and Brian D Marx · 2010
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Jean-Luc Marichal and Pierre Mathonet · 2011
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Tianyu Cui, Pekka Marttinen, and Samuel Kaski · 2019
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Data shapley: Equitable valuation of data for machine learning
Amirata Ghorbani and James Zou · 2019
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Towards efficient data valuation based on the shapley value
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, and Costas J Spanos · 2019
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Himabindu Lakkaraju, Ece Kamar, Rich Caruana, and Jure Leskovec · 2019
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Scott M Lundberg and Su-In Lee · 2017
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True to the model or true to the data?
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Improving kernelshap: Practical shapley value estimation via linear regression
Ian Covert and Su-In Lee · 2020
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Shapley-based explainability on the data manifold
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Connecting attributions and qa model behavior on realistic counterfactuals
Xi Ye, Rohan Nair, and Greg Durrett · 2021
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Sampling permutations for shapley value estimation
Rory Mitchell, Joshua Cooper, Eibe Frank, and Geoffrey Holmes · 2022
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