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Impossibility results for fair representations

Impossibility results for fair representations

7 July 2021
Tosca Lechner
Shai Ben-David
Sushant Agarwal
Nivasini Ananthakrishnan
    FaML
ArXivPDFHTML

Papers citing "Impossibility results for fair representations"

8 / 8 papers shown
Title
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Sina Baharlouei
Shivam Patel
Meisam Razaviyayn
35
4
0
06 Dec 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with
  Adversarial Filtering
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
17
2
0
13 Nov 2023
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias
  From Neural Networks
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
21
3
0
08 Oct 2023
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk
  Minimization Framework
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework
Sina Baharlouei
Meisam Razaviyayn
FaML
OOD
43
0
0
20 Sep 2023
FARE: Provably Fair Representation Learning with Practical Certificates
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
51
11
0
13 Oct 2022
Fair Representation: Guaranteeing Approximate Multiple Group Fairness
  for Unknown Tasks
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
Xudong Shen
Yongkang Wong
Mohan S. Kankanhalli
FaML
37
20
0
01 Sep 2021
Fair Densities via Boosting the Sufficient Statistics of Exponential
  Families
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
Alexander Soen
Hisham Husain
Richard Nock
FedML
26
1
0
01 Dec 2020
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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