mlsanityData to 7 Oct 2026

Multi Split Conformal Prediction

arXiv 2103.00627 ↗First posted 28 Feb 2021stat.MEcited by 21

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Abstract (arXiv)

Split conformal prediction is a computationally efficient method for performing distribution-free predictive inference in regression. It involves, however, a one-time random split of the data, and the result depends on the particular split. To address this problem, we propose multi split conformal prediction, a simple method based on Markov's inequality to aggregate single split conformal prediction intervals across multiple splits.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Feb 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 1; 2024: 8; 2025: 5; 2026: 3.

21 papers.

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  1. 2022Conformal Off-policy Predictioncited by 14
  2. 2023Conformal Prediction for Network-Assisted Regressioncited by 14
  3. 2024Conformal online model aggregationcited by 11
  4. 2024Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictioncited by 9
  5. 2024COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuitscited by 9
  6. 2024Certifiably Byzantine-Robust Federated Conformal Predictioncited by 8
  7. 2022Conformal Prediction Bands for Two-Dimensional Functional Time Seriescited by 7
  8. 2025Improving the statistical efficiency of cross-conformal predictioncited by 5
  9. 2024Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoningcited by 4
  10. 2026Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Seriescited by 4
  11. 2022A novel Deep Learning approach for one-step Conformal Prediction approximationcited by 3
  12. 2024Uncertainty quantification in metric spacescited by 3
9 more
  1. 2025Leave-One-Out Stable Conformal Predictioncited by 3
  2. 2024Uncertainty Quantification With Multiple Sourcescited by 2
  3. 2025Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spacescited by 2
  4. 2025Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluationcited by 2
  5. 2022A Confidence Machine for Sparse High-Order Interaction Modelcited by 1
  6. 2024Data-light Uncertainty Set Merging with Admissibilitycited by 0
  7. 2025Improving Coverage in Combined Prediction Sets with Weighted p-valuescited by 0
  8. 2026Set-Preserving Calibration from Conformal P-Values to E-Valuescited by 0
  9. 2026Rolling Conformal Prediction in Sequential Model Trainingcited by 0