EASE minimizes first-order mean squared error for probabilistic value estimation by jointly optimizing the sampling law and surrogate function, outperforming prior methods.
Measuring the effect of training data on deep learning predictions via randomized experiments
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.