Regularized Parameter Estimation

Regularized Parameter Estimation is a parameter estimation method that incorporates a penalty term into the objective function to constrain model complexity, thereby improving generalization and robustness in the presence of uncertainty.

187

Publications

14K

Citations

392

Authors

221

Institutions

Publications per year

2017–2026

51

Authors

392

  1. MY
    Ming Yuan

    Georgia Institute of Technology, United States

    3 publications · 108 citations

    4

    h-index

  2. YC
    Yonina C. Eldar

    Technion – Israel Institute of Technology, Israel

    3 publications · 192 citations

    3

    h-index

  3. TC
    Tianshi Chen

    Linköping University, Sweden

    3 publications · 182 citations

    3

    h-index

  4. EJ
    Emmanuel J. Candès

    Stanford University, United States

    3 publications · 309 citations

    3

    h-index

  5. LL
    Lennart Ljung

    Linköping University, Sweden

    3 publications · 182 citations

    3

    h-index

1–5 of 392

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 192 citations

    8

    h-index

  2. IEEE Transactions on Signal Processing

    7 publications · 281 citations

    7

    h-index

  3. Inverse Problems

    6 publications · 274 citations

    6

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 5 publications · 116 citations

    5

    h-index

  5. Signal Processing

    4 publications · 231 citations

    4

    h-index

1–5