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QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
We study the efficient computation of Shapley values for \emph{product games} -- cooperative games in which the coalition value factorizes as a product of per-player terms. Such games arise in machine learning explainability whenever the value function inherits a multiplicative structure from the un
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