A Note on the Prediction-Powered Bootstrap
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Abstract (arXiv)
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 normalityunicodex2013when the latter is applicableunicodex2013without 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.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 7 of its 15 references that are in the map. First posted on arXiv 28 May 2024.
Builds on
7 of 15 references.
References · 7
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
- 2023Prediction-Powered Inferencecited by 214
- 2023PPI++: Efficient Prediction-Powered Inferencecited by 103
- 2023Cross-Prediction-Powered Inferencecited by 57
- 2024AutoEval Done Right: Using Synthetic Data for Model Evaluationcited by 53
- 2018Combining multiple observational data sources to estimate causal effectscited by 29
- 2024From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narrativescited by 7
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Citing papers per year: 2025: 5; 2026: 5.
10 papers.
- 2025Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AIcited by 31
- 2025Robust Sampling for Active Statistical Inferencecited by 5
- 2025Imputation-Powered Inferencecited by 4
- 2026Demystifying Prediction Powered Inferencecited by 4
- 2026Revisiting Active Sequential Prediction-Powered Mean Estimationcited by 3
- 2025Scalable Vision-Guided Crop Yield Estimationcited by 1
- 2026Which Metrics Save the Most Human Annotation? Prediction-Powered Evaluation and Meta-Evaluationcited by 1
- 2025Prediction-Augmented Trees for Reliable Statistical Inferencecited by 0
- 2026ABC-Align: Prediction-Powered Alignment with Adaptive Bias Controlcited by 0
- 2026How to Run Statistics over LLM Judges and Trust the Results: Calibrated Inference for Small-Sample AI Evaluation with evalstatscited by 0
- 2026ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control28 Sep 2026
- 2026How to Run Statistics over LLM Judges and Trust the Results: Calibrated Inference for Small-Sample AI Evaluation with evalstats20 Sep 2026
- 2026Which Metrics Save the Most Human Annotation? Prediction-Powered Evaluation and Meta-Evaluation27 Aug 2026
- 2026Revisiting Active Sequential Prediction-Powered Mean Estimation20 Apr 2026
- 2026Demystifying Prediction Powered Inference28 Jan 2026
- 2025Scalable Vision-Guided Crop Yield Estimation17 Nov 2025
- 2025Robust Sampling for Active Statistical Inference12 Nov 2025
- 2025Prediction-Augmented Trees for Reliable Statistical Inference19 Oct 2025
- 2025Imputation-Powered Inference17 Sep 2025
- 2025Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI16 Jan 2025