Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies

12 Jul 2020Daniel Vidali FryerInga StrümkeHien Nguyen

Shapley values have become increasingly popular in the machine learning literature thanks to their attractive axiomatisation, flexibility, and uniqueness in satisfying certain notions of `fairness'. The flexibility arises from the myriad potential forms of the Shapley value \textit{game formulation}... (read more)

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