mlsanityData to 7 Oct 2026

Universal distribution of the empirical coverage in split conformal prediction

arXiv 2303.02770 ↗First posted 5 Mar 2023math.ST cs.LG stat.MLcited by 15

Not on the map. Why?

Abstract (arXiv)

When split conformal prediction operates in batch mode with exchangeable data, we determine the exact distribution of the empirical coverage of prediction sets produced for a finite batch of future observables, as well as the exact distribution of its almost sure limit when the batch size goes to infinity. Both distributions are universal, being determined solely by the nominal miscoverage level and the calibration sample size, thereby establishing a criterion for choosing the minimum required calibration sample size in applications.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 4 of its 11 references that are in the map. First posted on arXiv 5 Mar 2023.

Builds on

4 of 11 references.

References · 4

  1. 2016Distribution-Free Predictive Inference For Regressioncited by 657
  2. 2019Conformalized Quantile Regressioncited by 620
  3. 2020Conformal Prediction: a Unified Review of Theory and New Challengescited by 118
  4. 2022Distribution-Free Finite-Sample Guarantees and Split Conformal Predictioncited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 5; 2026: 7.

15 papers.

Sort: