ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.13485
  4. Cited By
Fairness with Overlapping Groups

Fairness with Overlapping Groups

24 June 2020
Forest Yang
Moustapha Cissé
Oluwasanmi Koyejo
    FaML
ArXivPDFHTML

Papers citing "Fairness with Overlapping Groups"

10 / 10 papers shown
Title
Consistent Classification with Generalized Metrics
Consistent Classification with Generalized Metrics
Xiaoyang Wang
Ran Li
Bowei Yan
Oluwasanmi Koyejo
33
8
0
24 Aug 2019
An Intersectional Definition of Fairness
An Intersectional Definition of Fairness
James R. Foulds
Rashidul Islam
Kamrun Naher Keya
Shimei Pan
FaML
48
187
0
22 Jul 2018
Training Well-Generalizing Classifiers for Fairness Metrics and Other
  Data-Dependent Constraints
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Andrew Cotter
Maya R. Gupta
Heinrich Jiang
Nathan Srebro
Karthik Sridharan
S. Wang
Blake E. Woodworth
Seungil You
FaML
36
105
0
29 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable
  Guarantees
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
152
306
0
15 Jun 2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Bowei Yan
Oluwasanmi Koyejo
Kai Zhong
Pradeep Ravikumar
44
31
0
02 Jun 2018
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
138
1,094
0
06 Mar 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
  Fairness
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
109
775
0
14 Nov 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
285
2,098
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
126
4,276
0
07 Oct 2016
Convex Calibration Dimension for Multiclass Loss Matrices
Convex Calibration Dimension for Multiclass Loss Matrices
H. G. Ramaswamy
S. Agarwal
43
47
0
12 Aug 2014
1