Computational Efficiency

Computational Efficiency is a performance metric in computational statistics that quantifies the resource effectiveness of an algorithm in terms of time, space, or sample requirements when approximating Bayesian posterior distributions without explicit likelihood evaluation.

9.2K

Publications

598.9K

Citations

27.4K

Authors

4.3K

Institutions

Publications per year

2017–2026

3.6K

Authors

27.4K

  1. XL
    Xin Luo

    Chongqing Institute of Green and Intelligent Technology, China

    23 publications · 2.4K citations

    20

    h-index

  2. YC
    Yumin Cheng

    Shanghai University, China

    17 publications · 1.1K citations

    17

    h-index

  3. FD
    Feng Ding

    Jiangnan University, China

    21 publications · 1.3K citations

    16

    h-index

  4. MZ
    MengChu Zhou

    New Jersey Institute of Technology, United States

    17 publications · 1.8K citations

    16

    h-index

  5. AM
    Andrea Massa

    University of Trento, Italy

    16 publications · 1.2K citations

    15

    h-index

1–5 of 27.4K

Venues

  1. arXiv (Cornell University)

    Repository · 266 publications · 17.7K citations

    60

    h-index

  2. IEEE Transactions on Power Systems

    147 publications · 10.9K citations

    59

    h-index

  3. The Journal of Chemical Physics

    131 publications · 13.1K citations

    53

    h-index

  4. 51

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 49 publications · 6.1K citations

    37

    h-index

1–5