Interventional Causal Discovery

Interventional Causal Discovery is a methodological framework within causal inference that distinguishes itself by identifying causal structures through the analysis of data generated under deliberate interventions, as opposed to purely observational data.

7

Publications

171

Citations

30

Authors

16

Institutions

Publications per year

2017–2026

5

Authors

30

  1. GC
    G. C. Ball

    Lawrence Livermore National Laboratory, United States

    1 publications · 10 citations

    1

    h-index

  2. SÉ
    Szabolcs Éliás

    Karolinska Institutet, Sweden

    1 publications · 10 citations

    1

    h-index

  3. SL
    Sébastien Lachapelle

    Université de Montréal, Canada

    1 publications · 17 citations

    1

    h-index

  4. YZ
    Yixin Zhu

    Peking University, China

    1 publications · 15 citations

    1

    h-index

  5. TH
    Tom Heskes

    Radboud University Nijmegen, Netherlands

    1 publications · 25 citations

    1

    h-index

1–5 of 30

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 42 citations

    2

    h-index

  2. IEEE Transactions on Multimedia

    1 publications · 34 citations

    1

    h-index

  3. Psychonomic Bulletin & Review

    1 publications · 40 citations

    1

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. Foundations of Computational Mathematics

    1 publications · 30 citations

    1

    h-index

1–5