Conditional Value-at-risk Optimization

Conditional Value-At-Risk Optimization is a stochastic optimization method that minimizes the expected loss in the worst-case quantile of a probability distribution, thereby focusing on tail risk beyond a specified confidence level.

398

Publications

26.7K

Citations

1.1K

Authors

477

Institutions

Publications per year

2017–2026

247

Authors

1.1K

  1. SU
    Stan Uryasev

    University of Florida, United States

    14 publications · 8K citations

    12

    h-index

  2. ZH
    Zhu Han

    University of Houston, United States

    8 publications · 335 citations

    8

    h-index

  3. JP
    João P. S. Catalào

    INESC TEC, Portugal

    7 publications · 370 citations

    7

    h-index

  4. MZ
    Michael Zabarankin

    Stevens Institute of Technology, United States

    6 publications · 665 citations

    6

    h-index

  5. MX
    Minghui Xu

    Wuhan University, China

    5 publications · 470 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Power Systems

    26 publications · 2.1K citations

    24

    h-index

  2. IEEE Transactions on Smart Grid

    16 publications · 1.5K citations

    16

    h-index

  3. IEEE Transactions on Sustainable Energy

    TSTE · 13 publications · 1K citations

    12

    h-index

  4. SSRN Electronic Journal

    Repository · 14 publications · 524 citations

    12

    h-index

  5. arXiv (Cornell University)

    Repository · 12 publications · 357 citations

    11

    h-index

1–5