Chinese Restaurant Process

The Chinese Restaurant Process is a stochastic process in Bayesian nonparametrics that serves as a prior distribution over partitions of a set, characterized by its exchangeable clustering mechanism and urn-like metaphor for sequentially assigning elements to groups.

105

Publications

10.1K

Citations

252

Authors

137

Institutions

Publications per year

2017–2026

22

Authors

252

  1. DM
    David M. Blei

    Princeton University, United States

    7 publications · 5.6K citations

    7

    h-index

  2. MI
    Michael I. Jordan

    University of California, Berkeley, United States

    6 publications · 5.8K citations

    6

    h-index

  3. SG
    Soumya Ghosh

    The University of Western Australia, Australia

    3 publications · 101 citations

    3

    h-index

  4. TL
    Thomas L. Griffiths

    University of California, Berkeley, United States

    3 publications · 1.7K citations

    3

    h-index

  5. AO
    Alice Oh

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 207 citations

    3

    h-index

1–5 of 252

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 187 citations

    6

    h-index

  2. 4

    h-index

  3. Journal of the American Statistical Association

    3 publications · 3.6K citations

    3

    h-index

  4. The Annals of Probability

    2 publications · 24 citations

    2

    h-index

  5. Neural Information Processing Systems

    Conference · 2 publications · 993 citations

    2

    h-index

1–5