Concentration Inequalities

Concentration Inequalities is a probabilistic tool in probabilistic combinatorics that constitutes a class of inequalities quantifying the likelihood that a random variable deviates from its expected value, distinguished by their application to combinatorial structures and stochastic processes.

571

Publications

40.3K

Citations

845

Authors

480

Institutions

Publications per year

2017–2026

114

Authors

845

  1. PM
    Pascal Massart

    Université Paris-Sud, France

    7 publications · 1.1K citations

    7

    h-index

  2. VK
    Vladimir Koltchinskii

    University of New Mexico, United States

    7 publications · 1.3K citations

    7

    h-index

  3. JA
    Joel A. Tropp

    California Institute of Technology, United States

    6 publications · 139 citations

    6

    h-index

  4. NG
    Nathaël Gozlan

    Université Paris Nanterre, France

    6 publications · 246 citations

    6

    h-index

  5. ER
    Emmanuel Rio

    Centre National de la Recherche Scientifique, France

    5 publications · 475 citations

    5

    h-index

1–5 of 845

Venues

  1. Probability Theory and Related Fields

    23 publications · 1.9K citations

    21

    h-index

  2. The Annals of Probability

    28 publications · 2.8K citations

    21

    h-index

  3. arXiv (Cornell University)

    Repository · 47 publications · 1.1K citations

    20

    h-index

  4. Electronic Journal of Probability

    EJP · 20 publications · 830 citations

    16

    h-index

  5. Bernoulli

    16 publications · 713 citations

    14

    h-index

1–5