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On Comparing Fair Classifiers under Data Bias

On Comparing Fair Classifiers under Data Bias

12 February 2023
Mohit Sharma
Amit Deshpande
R. Shah
ArXivPDFHTML

Papers citing "On Comparing Fair Classifiers under Data Bias"

14 / 14 papers shown
Title
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
Nil-Jana Akpinar
Manish Nagireddy
Logan Stapleton
H. Cheng
Haiyi Zhu
Steven Wu
Hoda Heidari
61
14
0
21 Apr 2022
Bayes-Optimal Classifiers under Group Fairness
Bayes-Optimal Classifiers under Group Fairness
Xianli Zeng
Yan Sun
Guang Cheng
FaML
138
23
0
20 Feb 2022
Post-processing for Individual Fairness
Post-processing for Individual Fairness
Felix Petersen
Debarghya Mukherjee
Yuekai Sun
Mikhail Yurochkin
FaML
63
84
0
26 Oct 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
279
494
0
31 Dec 2020
Does enforcing fairness mitigate biases caused by subpopulation shift?
Does enforcing fairness mitigate biases caused by subpopulation shift?
Subha Maity
Debarghya Mukherjee
Mikhail Yurochkin
Yuekai Sun
120
24
0
06 Nov 2020
Fair Classification with Group-Dependent Label Noise
Fair Classification with Group-Dependent Label Noise
Jialu Wang
Yang Liu
Caleb C. Levy
NoLa
39
103
0
31 Oct 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Marco Tulio Ribeiro
Tongshuang Wu
Carlos Guestrin
Sameer Singh
ELM
194
1,100
0
08 May 2020
On the Apparent Conflict Between Individual and Group Fairness
On the Apparent Conflict Between Individual and Group Fairness
Reuben Binns
FaML
66
311
0
14 Dec 2019
The Frontiers of Fairness in Machine Learning
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
170
415
0
20 Oct 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable
  Guarantees
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
188
308
0
15 Jun 2018
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
209
1,099
0
06 Mar 2018
A comparative study of fairness-enhancing interventions in machine
  learning
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
FaML
93
640
0
13 Feb 2018
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
202
4,301
0
07 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
179
1,984
0
11 Dec 2014
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