A Note on the Prediction-Powered Bootstrap
Machine Learning
2025-01-27 v3 Machine Learning
Methodology
Abstract
We introduce PPBoot: a bootstrap-based method for prediction-powered inference. PPBoot is applicable to arbitrary estimation problems and is very simple to implement, essentially only requiring one application of the bootstrap. Through a series of examples, we demonstrate that PPBoot often performs nearly identically to (and sometimes better than) the earlier PPI(++) method based on asymptotic normalitywhen the latter is applicablewithout requiring any asymptotic characterizations. Given its versatility, PPBoot could simplify and expand the scope of application of prediction-powered inference to problems where central limit theorems are hard to prove.
Cite
@article{arxiv.2405.18379,
title = {A Note on the Prediction-Powered Bootstrap},
author = {Tijana Zrnic},
journal= {arXiv preprint arXiv:2405.18379},
year = {2025}
}