Sparse Optimization

Sparse Optimization is a variational optimization method that specifically seeks solutions with minimal non-zero components, distinguishing itself by incorporating sparsity-inducingregularizers to promote structural simplicity in high-dimensional spaces.

1.4K

Publications

97K

Citations

3.2K

Authors

1K

Institutions

Publications per year

2017–2026

556

Authors

3.2K

  1. TZ
    Tong Zhang

    Rutgers, The State University of New Jersey, United States

    11 publications · 1.2K citations

    11

    h-index

  2. FB
    Francis Bach

    Institut national de recherche en sciences et technologies du numérique, France

    10 publications · 1.4K citations

    10

    h-index

  3. XC
    Xuefeng Chen

    Xi'an Jiaotong University, China

    10 publications · 675 citations

    10

    h-index

  4. NX
    Naihua Xiu

    Beijing Jiaotong University, China

    11 publications · 375 citations

    10

    h-index

  5. PL
    Philippe L. Toint

    University of Namur, Belgium

    9 publications · 469 citations

    9

    h-index

1–5 of 3.2K

Venues

  1. arXiv (Cornell University)

    Repository · 116 publications · 4.9K citations

    31

    h-index

  2. SIAM Journal on Optimization

    40 publications · 4.8K citations

    31

    h-index

  3. Mathematical Programming

    32 publications · 2.9K citations

    21

    h-index

  4. IEEE Transactions on Signal Processing

    24 publications · 2.4K citations

    19

    h-index

  5. 17

    h-index

1–5