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Two Simple Ways to Learn Individual Fairness Metrics from Data

Two Simple Ways to Learn Individual Fairness Metrics from Data

19 June 2020
Debarghya Mukherjee
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
    FaML
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Papers citing "Two Simple Ways to Learn Individual Fairness Metrics from Data"

6 / 56 papers shown
Title
Fair Performance Metric Elicitation
Fair Performance Metric Elicitation
G. Hiranandani
Harikrishna Narasimhan
Oluwasanmi Koyejo
17
18
0
23 Jun 2020
Auditing ML Models for Individual Bias and Unfairness
Auditing ML Models for Individual Bias and Unfairness
Songkai Xue
Mikhail Yurochkin
Yuekai Sun
MLAU
40
22
0
11 Mar 2020
Learning Certified Individually Fair Representations
Learning Certified Individually Fair Representations
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
13
92
0
24 Feb 2020
Implicit Diversity in Image Summarization
Implicit Diversity in Image Summarization
L. E. Celis
Vijay Keswani
11
33
0
29 Jan 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
673
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,082
0
24 Oct 2016
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