On the Convergence of the Shapley Value in Parametric Bayesian Learning Games

1 code implementation • 16 May 2022 • Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low

We show that for any two players, under some regularity conditions, their difference in Shapley value converges in probability to the difference in Shapley value of a limiting game whose characteristic function is proportional to the log-determinant of the joint Fisher information.

Bayesian Inference