Assignment With Incomplete Information

Assignment with Incomplete Information is an assignment problem framework in which the agent-task valuation or preference data is partially unknown or uncertain, distinguishing it from standard assignment models by explicitly incorporating mechanisms to handle missing or probabilistic information in the allocation process.

158

Publications

14.5K

Citations

310

Authors

198

Institutions

Publications per year

2017–2026

24

Authors

310

  1. CR
    Carles Rafels

    Universitat de Barcelona, Spain

    4 publications · 101 citations

    4

    h-index

  2. SO
    Sewoong Oh

    University of Illinois Urbana-Champaign, United States

    3 publications · 492 citations

    3

    h-index

  3. PT
    Paolo Toth

    University of Bologna, Italy

    3 publications · 378 citations

    3

    h-index

  4. DS
    Devavrat Shah

    Massachusetts Institute of Technology, United States

    3 publications · 492 citations

    3

    h-index

  5. SS
    Sven Seuken

    University of Zurich, Switzerland

    3 publications · 53 citations

    3

    h-index

1–5 of 310

Venues

  1. European Journal of Operational Research

    14 publications · 2.2K citations

    13

    h-index

  2. International Journal of Game Theory

    8 publications · 1.9K citations

    8

    h-index

  3. Games and Economic Behavior

    8 publications · 259 citations

    8

    h-index

  4. Mathematical Social Sciences

    7 publications · 241 citations

    7

    h-index

  5. Journal of Economic Theory

    JET · 7 publications · 1.5K citations

    7

    h-index

1–5