Sparsity Priors

Sparsity Prior is a type of prior distribution in Bayesian model building that specifically enforces sparsity by assigning higher probability density to parameter values near zero, thereby distinguishing itself from other priors through its explicit promotion of parsimonious model structures.

556

Publications

36.2K

Citations

1.8K

Authors

668

Institutions

Publications per year

2017–2026

229

Authors

1.8K

  1. YC
    Yonina C. Eldar

    Technion – Israel Institute of Technology, Israel

    6 publications · 1.6K citations

    6

    h-index

  2. WG
    Wen Gao

    Peking University, China

    6 publications · 230 citations

    6

    h-index

  3. AK
    Aggelos K. Katsaggelos

    Northwestern University, United States

    5 publications · 869 citations

    5

    h-index

  4. SD
    S. Derin Babacan

    Northwestern University, United States

    5 publications · 869 citations

    5

    h-index

  5. LZ
    Lei Zhang

    Northwestern Polytechnical University, China

    5 publications · 254 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 39 publications · 1K citations

    19

    h-index

  2. IEEE Transactions on Image Processing

    20 publications · 2.2K citations

    16

    h-index

  3. IEEE Transactions on Signal Processing

    19 publications · 3.4K citations

    16

    h-index

  4. 14

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 10 publications · 2.2K citations

    10

    h-index

1–5