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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"

6 / 6 papers shown
Title
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit
  Courts
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Elliott Ash
Naman Goel
Nianyun Li
Claudia Marangon
Peiyao Sun
19
2
0
28 Oct 2023
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu
Tianyi Luo
Yang Liu
148
39
0
12 Oct 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
97
91
0
06 Aug 2021
Through the Data Management Lens: Experimental Analysis and Evaluation
  of Fair Classification
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam
Anna Fariha
A. Meliou
Babak Salimi
FaML
23
24
0
18 Jan 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
233
486
0
31 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
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