A Note on the Prediction-Powered Bootstrap
<|reference_start|>A Note on the Prediction-Powered Bootstrap: 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 normality$\unicode{x2013}$when the latter is applicable$\unicode{x2013}$without 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.<|reference_end|>
@article{zrnic2024a,
    title={A Note on the Prediction-Powered Bootstrap},
    author={Tijana Zrnic},
    journal={arXiv preprint arXiv:2405.18379},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.18379},
    primaryClass={stat.ML cs.LG stat.ME}
}