ResearchTrend.AI
Principal Fairness: Removing Bias via Projections
v1v2v3 (latest)

Principal Fairness: Removing Bias via Projections

Aris Anagnostopoulos
L. Becchetti
Adriano Fazzone
Cristina Menghini
Chris Schwiegelshohn
    FaML
ArXiv (abs)PDFHTML

Papers citing "Principal Fairness: Removing Bias via Projections"

3 / 3 papers shown
Title
A Notion of Individual Fairness for Clustering
A Notion of Individual Fairness for Clustering
Matthäus Kleindessner
Pranjal Awasthi
Jamie Morgenstern
FaML
86
30
0
08 Jun 2020
Fairness in Clustering with Multiple Sensitive Attributes
Fairness in Clustering with Multiple Sensitive Attributes
Savitha Sam
Abraham • Deepak
Sowmya S. Sundaram
FaML
69
43
0
11 Oct 2019
Coresets for Clustering with Fairness Constraints
Coresets for Clustering with Fairness Constraints
Lingxiao Huang
S. Jiang
Nisheeth K. Vishnoi
114
104
0
20 Jun 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.