mlsanityData to 7 Oct 2026

A Note on the Prediction-Powered Bootstrap

arXiv 2405.18379 ↗First posted 28 May 2024stat.ML cs.LG stat.MEcited by 10

Not on the map. Why?

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

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  2. 2023Prediction-Powered Inferencecited by 214
  3. 2023PPI++: Efficient Prediction-Powered Inferencecited by 103
  4. 2023Cross-Prediction-Powered Inferencecited by 57
  5. 2024AutoEval Done Right: Using Synthetic Data for Model Evaluationcited by 53
  6. 2018Combining multiple observational data sources to estimate causal effectscited by 29
  7. 2024From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narrativescited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 5.

10 papers.