# From conformal to probabilistic prediction

arXiv: https://arxiv.org/abs/1406.5600 · HTML: https://mlsanity.com/paper/1406.5600/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Jun 2014.

## Built on by (most cited first, 4 of 4)

- [On the Expected Size of Conformal Prediction Sets](https://mlsanity.com/paper/2306.07254/) (2023)
- [Conformal Calibration of Statistical Confidence Sets](https://mlsanity.com/paper/2411.19368/) (2024)
- [Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference](https://mlsanity.com/paper/2402.05330/) (2024)
- [Geometrically Constrained Outlier Synthesis](https://mlsanity.com/paper/2603.08413/) (2026)

## Abstract (arXiv)

This paper proposes a new method of probabilistic prediction, which is based on conformal prediction. The method is applied to the standard USPS data set and gives encouraging results.