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.
Description
[1603.04416] Criteria of efficiency for conformal prediction
%0 Journal Article
%1 vovk2016criteria
%A Vovk, Vladimir
%A Nouretdinov, Ilia
%A Fedorova, Valentina
%A Petej, Ivan
%A Gammerman, Alex
%D 2016
%K conformal
%T Criteria of efficiency for conformal prediction
%U http://arxiv.org/abs/1603.04416
%X 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.
@article{vovk2016criteria,
abstract = {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.},
added-at = {2019-03-03T07:42:25.000+0100},
author = {Vovk, Vladimir and Nouretdinov, Ilia and Fedorova, Valentina and Petej, Ivan and Gammerman, Alex},
biburl = {https://www.bibsonomy.org/bibtex/2aa3723514f966def7eef489d365b4699/kirk86},
description = {[1603.04416] Criteria of efficiency for conformal prediction},
interhash = {2d42c6ec0c669126d68348ccfd7f8d52},
intrahash = {aa3723514f966def7eef489d365b4699},
keywords = {conformal},
note = {cite arxiv:1603.04416Comment: 31 pages},
timestamp = {2019-03-03T07:42:25.000+0100},
title = {Criteria of efficiency for conformal prediction},
url = {http://arxiv.org/abs/1603.04416},
year = 2016
}