Conformal Prediction
Conformal Prediction is a statistical framework for quantifying prediction uncertainty by generating set-valued outputs that guarantee valid coverage under minimal assumptions, distinguishing itself from traditional predictive models through its foundation in conformal exchangeability and finite-sample validity.
196
Publications
8.7K
Citations
459
Authors
187
Institutions
Publications per year
2017–2026
134
Variants
Conformal Inference
196
A tutorial on conformal prediction
Glenn Shafer, Vladimir Vovk · arXiv (Cornell University) · 2007 · 625 citations · Full text
Computing, Data Science, Mathematics +13
HappyMap : A Generalized Multicalibration Method
arXiv (Cornell University) · 2023 · 192 citations · Full text
Conformal prediction beyond exchangeability
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas et al. · The Annals of Statistics · 2023 · 186 citations · Full text
Computing, Mathematics, Forecasting +16
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459
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187

Stockholm University
Stockholm, Sweden
18 h-index
25 publications
1K citations

Royal Holloway University of London
Egham, United Kingdom
17 h-index
46 publications
1.8K citations

Uppsala University
Uppsala, Sweden
14 h-index
49 publications
2.5K citations
Stanford University
Stanford, United States
13 h-index
20 publications
777 citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
22 publications
1.5K citations

University of Borås
Borås, Sweden
9 h-index
23 publications
996 citations
University of Cambridge
Cambridge, United Kingdom
9 h-index
16 publications
765 citations

Karolinska Institutet
Stockholm, Sweden
8 h-index
17 publications
1.2K citations
1–8 of 187
Repository · 36 publications · 1.5K citations
17
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JCIM · 11 publications · 733 citations
11
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6 publications · 211 citations
6
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5 publications · 332 citations
5
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5 publications · 444 citations
5
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