Expected Loss Reduction

Expected Loss Reduction is a decision-theoretic metric that quantifies the anticipated decrease in expected loss achieved by acquiring additional information before making a decision, distinguishing it from alternative value-of-information measures by specifically focusing on the reduction of anticipated decisional regret.

111

Publications

5.8K

Citations

302

Authors

152

Institutions

Publications per year

2017–2026

33

Authors

302

  1. RS
    Robert Sugden

    University of East Anglia, United Kingdom

    3 publications · 644 citations

    3

    h-index

  2. BM
    Biswanath Mukherjee

    University of California, Davis, United States

    2 publications · 24 citations

    2

    h-index

  3. JS
    Jamie Shotton

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 627 citations

    2

    h-index

  4. RP
    Robert Peharz

    Graz University of Technology, Austria

    2 publications · 31 citations

    2

    h-index

  5. EB
    Eric Brachmann

    Technische Universität Dresden, Germany

    2 publications · 627 citations

    2

    h-index

1–5 of 302

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 175 citations

    10

    h-index

  2. Journal of Economic Theory

    JET · 2 publications · 610 citations

    2

    h-index

  3. Risk Analysis

    2 publications · 167 citations

    2

    h-index

  4. American Political Science Review

    2 publications · 43 citations

    2

    h-index

  5. IEEE Transactions on Reliability

    2 publications · 33 citations

    2

    h-index

1–5