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most citedEfficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems

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stat.ML2026

Calibeating Prediction-Powered Inference

Lars van der Laan, Mark Van Der Laan

We study semisupervised mean estimation with a small labeled sample, a large unlabeled sample, and a black-box prediction model whose output may be miscalibrated. A standard approa…