mlsanityData to 7 Oct 2026

Criteria of efficiency for conformal prediction

arXiv 1603.04416 ↗First posted 14 Mar 2016cs.LGcited by 36

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Abstract (arXiv)

We study optimal conformity measures for various criteria of efficiency of classification in an idealised setting. This leads to an important class of criteria of efficiency that we call probabilistic; it turns out that the most standard criteria of efficiency used in literature on conformal prediction are not probabilistic unless the problem of classification is binary. We consider both unconditional and label-conditional conformal prediction.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Mar 2016.

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Citing papers per year: 2021: 4; 2022: 4; 2023: 7; 2024: 9; 2025: 7; 2026: 5.

36 papers.

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  1. 2021Distribution-free uncertainty quantification for classification under label shiftcited by 99
  2. 2023Protein Discovery with Discrete Walk-Jump Samplingcited by 38
  3. 2022Conformal Prediction Sets with Limited False Positivescited by 28
  4. 2021Optimized conformal classification using gradient descent approximationcited by 27
  5. 2024Conformal Prediction: A Data Perspectivecited by 25
  6. 2022Efficiently Controlling Multiple Risks with Pareto Testingcited by 21
  7. 2024An Information Theoretic Perspective on Conformal Predictioncited by 21
  8. 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibrationcited by 18
  9. 2023On the Expected Size of Conformal Prediction Setscited by 13
  10. 2022Approximating Full Conformal Prediction at Scale via Influence Functionscited by 11
  11. 2024Normalizing Flows for Conformal Regressioncited by 11
  12. 2021Exact Optimization of Conformal Predictors via Incremental and Decremental Learningcited by 10
24 more
  1. 2025Direct Prediction Set Minimization via Bilevel Conformal Classifier Trainingcited by 8
  2. 2025Conformal Prediction for Long-Tailed Classificationcited by 7
  3. 2023Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labelscited by 5
  4. 2022A novel Deep Learning approach for one-step Conformal Prediction approximationcited by 3
  5. 2023Android Malware Detection with Unbiased Confidence Guaranteescited by 2
  6. 2024Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictorscited by 2
  7. 2024Conformal Calibration of Statistical Confidence Setscited by 2
  8. 2025Adaptive Conformal Guidance for Learning under Uncertaintycited by 2
  9. 2025Fundamental bounds on efficiency-confidence trade-off for transductive conformal predictioncited by 2
  10. 2025Non-Asymptotic Analysis of Efficiency in Conformalized Regressioncited by 2
  11. 2021Approximation to Object Conditional Validity with Inductive Conformal Predictorscited by 1
  12. 2023Conformal Prediction in Multi-User Settings: An Evaluationcited by 1
  13. 2024Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inferencecited by 1
  14. 2025Uncertainty Guarantees on Automated Precision Weeding using Conformal Predictioncited by 1
  15. 2026On Optimal Data Splitting for Split Conformal Predictioncited by 1
  16. 2023CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligencecited by 0
  17. 2023Conformalised data synthesiscited by 0
  18. 2024Conformal Recursive Feature Eliminationcited by 0
  19. 2024Investigating Data Usage for Inductive Conformal Predictorscited by 0
  20. 2025Conformal Prediction and Trustworthy AIcited by 0
  21. 2026Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Bettercited by 0
  22. 2026Uncertainty-Aware Transformers: Conformal Prediction for Language Modelscited by 0
  23. 2026Stable Localized Conformal Prediction via Transductioncited by 0
  24. 2026Climate-Invariant Conformal Prediction Intervals for Multi-Horizon Solar and Wind Forecastingcited by 0