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The KL-Divergence between a Graph Model and its Fair I-Projection as a
  Fairness Regularizer

The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer

2 March 2021
Maarten Buyl
T. D. Bie
ArXivPDFHTML

Papers citing "The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer"

5 / 5 papers shown
Title
On Explaining Unfairness: An Overview
On Explaining Unfairness: An Overview
Christos Fragkathoulas
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
XAI
FaML
19
2
0
16 Feb 2024
FairNorm: Fair and Fast Graph Neural Network Training
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
16
4
0
20 May 2022
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
34
112
0
21 Apr 2022
Optimal Transport of Classifiers to Fairness
Optimal Transport of Classifiers to Fairness
Maarten Buyl
T. D. Bie
FaML
13
10
0
08 Feb 2022
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
329
4,223
0
23 Aug 2019
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