Concepedia

Subgroup Fairness

Subgroup Fairness is a fairness evaluation framework in machine learning that assesses equitable model performance across distinct demographic subgroups by ensuring fair outcomes even within overlapping or intersecting identity categories.

53

Publications

3.1K

Citations

169

Authors

64

Institutions

Publications per year

2017–2026

49

Parents

Publications

53

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Michael Kearns, Seth Neel, Aaron Roth et al. · arXiv (Cornell University) · 2017 · 306 citations · Full text

, , +12

50 Years of Test (Un)fairness

Ben Hutchinson, Margaret Mitchell · 2019 · 287 citations

, , +14

Learning Adversarially Fair and Transferable Representations

David Madras, Elliot Creager, Toniann Pitassi et al. · arXiv (Cornell University) · 2018 · 190 citations · Full text

, , +14

Multiaccuracy

Michael P. Kim, Amirata Ghorbani, James Zou · 2019 · 186 citations · Full text

, , +17

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Ángel Alexander Cabrera, Will Epperson, Fred Hohman et al. · arXiv (Cornell University) · 2019 · 184 citations · Full text

, , +16

1–5 of 53

Authors

169

  1. SN
    Seth Neel

    University of Pennsylvania, United States

    3 publications · 440 citations

    3

    h-index

  2. ZS
    Zhiwei Steven Wu

    University of Pennsylvania, United States

    3 publications · 440 citations

    3

    h-index

  3. MK
    Michael Kearns

    University of Pennsylvania, United States

    3 publications · 440 citations

    3

    h-index

  4. AR
    Aaron Roth

    University of Pennsylvania, United States

    3 publications · 440 citations

    3

    h-index

  5. FH
    Fred Hohman

    Georgia Institute of Technology, United States

    2 publications · 199 citations

    2

    h-index

1–5 of 169

Institutions

64

  1. University of Pennsylvania

    Philadelphia, United States

    5 h-index

    11 publications

    1.6K citations

  2. University of Michigan

    Ann Arbor, United States

    4 h-index

    10 publications

    417 citations

  3. Georgia Institute of Technology

    Atlanta, United States

    3 h-index

    15 publications

    1.3K citations

  4. California University of Pennsylvania

    California, United States

    3 h-index

    8 publications

    1.3K citations

  5. Stanford University

    Stanford, United States

    3 h-index

    29 publications

    1.5K citations

  6. University of Illinois Chicago

    Chicago, United States

    3 h-index

    3 publications

    72 citations

  7. University of Utah

    Salt Lake City, United States

    2 h-index

    5 publications

    252 citations

  8. University of Maryland, College Park

    College Park, United States

    2 h-index

    8 publications

    280 citations

1–8 of 64

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 1.1K citations

    10

    h-index

  2. Nature Communications

    3 publications · 141 citations

    3

    h-index

  3. 2022 ACM Conference on Fairness, Accountability, and Transparency

    Conference · 2 publications · 139 citations

    2

    h-index

  4. Omega

    1 publications · 33 citations

    1

    h-index

  5. International Conference on Machine Learning

    Conference · 1 publications · 123 citations

    1

    h-index

1–5