EASE minimizes first-order mean squared error for probabilistic value estimation by jointly optimizing the sampling law and surrogate function, outperforming prior methods.
Model-assisted estimation in high-dimensional settings for survey data.Journal of Applied Statistics, 50(3):761–785
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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.