EASE minimizes first-order mean squared error for probabilistic value estimation by jointly optimizing the sampling law and surrogate function, outperforming prior methods.
Improving polynomial estimation of the shapley value by stratified random sampling with optimum allocation.Computers & Operations Research, 82:180–188
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First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
EASE minimizes first-order mean squared error for probabilistic value estimation by jointly optimizing the sampling law and surrogate function, outperforming prior methods.