title | booktitle | year | volume | series | month | publisher | 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 | ||||||||||||||||||||||||||||||||||||||||||||||
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Conformal Regression with Reject Option |
Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications |
2024 |
230 |
Proceedings of Machine Learning Research |
0 |
PMLR |
A regressor with reject option may refrain from making predictions expected to be inaccurate. In this paper, we introduce and evaluate conformal regression with reject option. Consistent with standard conformal regression, non-rejected predictions are valid prediction intervals. The suggested approach utilizes Mondrian conformal regression, where the categories are dynamically created from difficulty estimations of individual instances and requested rejection levels. As shown in the experiments, using |
inproceedings |
2640-3498 |
johansson24a |
Conformal Regression with Reject Option |
277 |
294 |
277-294 |
277 |
false |
Vantini, Simone and Fontana, Matteo and Solari, Aldo and Bostr\"{o}m, Henrik and Carlsson, Lars |
|
Johansson, Ulf and S\"{o}nstr\"{o}d, Cecilia and Bostr\"{o}m, Henrik |
|
2024-09-10 |
Proceedings of the Thirteenth Symposium on Conformal and Probabilistic Prediction with Applications |
inproceedings |
|