2024-09-10-katsios24a.md

title	booktitle	year	volume	series	month	publisher	pdf	url	abstract	layout	issn	id	tex_title	firstpage	lastpage	page	order	cycles	bibtex_editor	editor	bibtex_author	author	date	address	container-title	genre	issued	extras
Multi-label Conformal Prediction with a Mahalanobis Distance Nonconformity Measure	Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications	2024	230	Proceedings of Machine Learning Research	0	PMLR	https://raw.githubusercontent.com/mlresearch/v230/main/assets/katsios24a/katsios24a.pdf	https://proceedings.mlr.press/v230/katsios24a.html	This preliminary study introduces a Conformal Prediction method for Multi-label Classification with a nonconformity measure based on the Mahalanobis distance. The Mahalanobis measure incorporates a covariance matrix considering correlations between the errors of the underlying classifier on each label. Our experimental results show that this approach results in a significant informational efficiency improvement over the previously proposed Euclidean Norm nonconformity measure.	inproceedings	2640-3498	katsios24a	Multi-label Conformal Prediction with a Mahalanobis Distance Nonconformity Measure	522	535	522-535	522	false	Vantini, Simone and Fontana, Matteo and Solari, Aldo and Bostr\"{o}m, Henrik and Carlsson, Lars	given family Simone Vantini given family Matteo Fontana given family Aldo Solari given family Henrik Boström given family Lars Carlsson	Katsios, Kostas and Papadopulos, Harris	given family Kostas Katsios given family Harris Papadopulos	2024-09-10		Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications	inproceedings	date-parts 2024 9 10