Submodular Optimization

Submodular Optimization is a branch of discrete optimization that focuses on the maximization or minimization of submodular functions, which exhibit a diminishing returns property, over feasible subsets within a combinatorial structure.

988

Publications

71.6K

Citations

1.5K

Authors

536

Institutions

Publications per year

2017–2026

421

Authors

1.5K

  1. AK
    Andreas Krause

    ETH Zurich, Switzerland

    52 publications · 4.4K citations

    34

    h-index

  2. JB
    Jeff Bilmes

    University of Washington, United States

    39 publications · 2.9K citations

    27

    h-index

  3. HD
    Haipeng Dai

    Nanjing University, China

    27 publications · 1.2K citations

    22

    h-index

  4. MF
    Moran Feldman

    Technion – Israel Institute of Technology, Israel

    34 publications · 1.8K citations

    21

    h-index

  5. AK
    Amin Karbasi

    Yale University, United States

    30 publications · 1.6K citations

    21

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 128 publications · 4.9K citations

    35

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 27 publications · 1.2K citations

    18

    h-index

  3. Mathematical Programming

    24 publications · 1.7K citations

    18

    h-index

  4. Neural Information Processing Systems

    Conference · 15 publications · 515 citations

    14

    h-index

  5. SIAM Journal on Computing

    15 publications · 2.4K citations

    14

    h-index

1–5