# Conformal predictive distributions with kernels

arXiv: https://arxiv.org/abs/1710.08894 · HTML: https://mlsanity.com/paper/1710.08894/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Oct 2017.

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

- [Conformal Predictive Systems Under Covariate Shift](https://mlsanity.com/paper/2404.15018/) (2024)
- [Training-Free Probabilistic Time-Series Forecasting with Conformal Seasonal Pools](https://mlsanity.com/paper/2605.03789/) (2026)
- [QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems](https://mlsanity.com/paper/2507.14760/) (2025)
- [Residual Distribution Predictive Systems](https://mlsanity.com/paper/2510.26914/) (2025)

## Abstract (arXiv)

This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new. The first development is bringing predictive distributions into machine learning, whose early development was so deeply influenced by two remarkable groups at the Institute of Automation and Remote Control. The second development is combining predictive distributions with kernel methods, which were originated by one of those groups, including Emmanuel Braverman.