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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…
stat.ML2026
A Researcher's Guide to Empirical Risk Minimization
Lars van der Laan
This guide provides a reference for high-probability regret bounds in empirical risk minimization (ERM). The presentation is modular: we begin with intuition and general proof stra…