Conformal e-prediction in the presence of confounding
Statistics Theory
2026-03-13 v1 Machine Learning
Statistics Theory
Abstract
This note extends conformal e-prediction to cover the case where there is observed confounding between the random object and its label . We consider both the case where the observed data is IID and a case where some dependence between observations is permitted.
Cite
@article{arxiv.2603.11134,
title = {Conformal e-prediction in the presence of confounding},
author = {Vladimir Vovk and Ruodu Wang},
journal= {arXiv preprint arXiv:2603.11134},
year = {2026}
}
Comments
8 pages, 2 figures