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On Comparing Fair Classifiers under Data Bias

On Comparing Fair Classifiers under Data Bias

Mohit Sharma
Amit Deshpande
R. Shah
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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
16
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