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2009.12040
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Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
25 September 2020
Tao Zhang
Tianqing Zhu
Jing Li
Mengde Han
Wanlei Zhou
Philip S. Yu
FaML
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Papers citing
"Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination"
12 / 12 papers shown
Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
Alpha and Prejudice: Improving
α
α
α
-sized Worst-case Fairness via Intrinsic Reweighting
Jing Li
Yinghua Yao
Yuangang Pan
Xuanqian Wang
Ivor Tsang
Xiuju Fu
FaML
37
0
0
05 Nov 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
A. Lucia
F. Ferrucci
Gemma Catolino
Fabio Palomba
FaML
39
3
0
29 Aug 2024
A novel approach for Fair Principal Component Analysis based on eigendecomposition
G. D. Pelegrina
L. Duarte
FaML
22
11
0
24 Aug 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An
Zora Che
Mucong Ding
Furong Huang
14
31
0
26 Jun 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
32
11
0
10 May 2022
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
30
36
0
04 Nov 2021
Fair-SSL: Building fair ML Software with less data
Joymallya Chakraborty
Suvodeep Majumder
Huy Tu
SyDa
11
5
0
03 Nov 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji
Padhraic Smyth
M. Steyvers
34
44
0
19 Oct 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
34
125
0
05 Aug 2020
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
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