Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
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Updated
Aug 8, 2022
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
A Matlab Toolbox for Cooperative Game Theory
Statistical inference on machine learning or general non-parametric models
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models
Dominance Analysis: Stata Implementation
ADECOMP: Stata module to estimate Shapley Decomposition by Components of a Welfare Measure
Undertanding the impact of individual data instances on using residual decomposition and Shapley values
Methods for estimating sources of BCR change via decomposition into change in benefits and change in costs.
codes for dissertation on the FDI-inequality linkage
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