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Representative & Fair Synthetic Data

Representative & Fair Synthetic Data

7 April 2021
P. Tiwald
Alexandra Ebert
Daniel Soukup
ArXivPDFHTML

Papers citing "Representative & Fair Synthetic Data"

5 / 5 papers shown
Title
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
282
494
0
31 Dec 2020
A survey of bias in Machine Learning through the prism of Statistical
  Parity for the Adult Data Set
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
Philippe C. Besse
E. del Barrio
Paula Gordaliza
Jean-Michel Loubes
Laurent Risser
FaML
36
65
0
31 Mar 2020
Inherent Tradeoffs in Learning Fair Representations
Inherent Tradeoffs in Learning Fair Representations
Han Zhao
Geoffrey J. Gordon
FaML
48
215
0
19 Jun 2019
FNNC: Achieving Fairness through Neural Networks
FNNC: Achieving Fairness through Neural Networks
P. Manisha
Sujit Gujar
36
74
0
01 Nov 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
  Fairness
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
185
776
0
14 Nov 2017
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