OpenAlex | Conformal prediction beyond exchangeability

Conformal prediction beyond exchangeability

Work

Year: 2023

Type: article

Abstract: Conformal prediction is a popular, modern technique for providing valid predictive inference for arbitrary machine learning models. Its validity relies on the assumptions of exchangeability of the dat... more

Source: The Annals of Statistics

Authors Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, Ryan J. Tibshirani

Institutions University of Chicago, Stanford University, Carnegie Mellon University

Cites: 15

Cited by: 71

Related to: 10

FWCI: 29.11

Citation percentile (by year/subfield): 99.98

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: bronze