How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers

Poster (Scientific congresses, symposiums and conference proceedings)

Aleksandrova, Marharyta; Chertov, Oleg

2021 • Workshop on Distribution-Free Uncertainty Quantification at ICML 2021

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https://hdl.handle.net/10993/49341

ICML-DFUQ-2021_paper.pdf

Author preprint (1.07 MB)

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Disciplines :

Computer science

Author, co-author :

Aleksandrova, Marharyta ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Chertov, Oleg; National Technical University of Ukraine ”Igor Sikorsky Kyiv Polytechnic Institute”

External co-authors :

yes

Language :

English

Title :

How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers

Publication date :

July 2021

Event name :

Workshop on Distribution-Free Uncertainty Quantification at ICML 2021

Event date :

24-07-2021

Focus Area :

Computational Sciences

Additional URL :

Available on ORBilu :

since 07 January 2022

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Number of downloads

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