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

Authors

459

  1. UN
    Ulf Norinder

    AstraZeneca (Sweden), Sweden

    23 publications · 1.2K citations

    21

    h-index

  2. VV
    Vladimir Vovk

    Royal Holloway University of London, United Kingdom

    11 publications · 1.1K citations

    11

    h-index

  3. OS
    Ola Spjuth

    Uppsala University, Sweden

    11 publications · 525 citations

    11

    h-index

  4. AG
    Alex Gammerman

    Royal Holloway University of London, United Kingdom

    11 publications · 366 citations

    11

    h-index

  5. HB
    Henrik Boström

    Stockholm University, Sweden

    11 publications · 414 citations

    10

    h-index

1–5 of 459

Venues

  1. arXiv (Cornell University)

    Repository · 36 publications · 1.5K citations

    17

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 11 publications · 733 citations

    11

    h-index

  3. 6

    h-index

  4. Journal of Cheminformatics

    5 publications · 332 citations

    5

    h-index

  5. Machine Learning

    5 publications · 444 citations

    5

    h-index

1–5