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. 1802.04422
  4. Cited By
A comparative study of fairness-enhancing interventions in machine
  learning

A comparative study of fairness-enhancing interventions in machine learning

13 February 2018
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
    FaML
ArXivPDFHTML

Papers citing "A comparative study of fairness-enhancing interventions in machine learning"

10 / 110 papers shown
Title
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and
  the xAUC Metric
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
Nathan Kallus
Angela Zhou
22
73
0
15 Feb 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OOD
VLM
15
478
0
16 Jan 2019
Bias Mitigation Post-processing for Individual and Group Fairness
Bias Mitigation Post-processing for Individual and Group Fairness
P. Lohia
Karthikeyan N. Ramamurthy
M. Bhide
Diptikalyan Saha
Kush R. Varshney
Ruchir Puri
FaML
21
155
0
14 Dec 2018
Aequitas: A Bias and Fairness Audit Toolkit
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
51
318
0
14 Nov 2018
An exploration of algorithmic discrimination in data and classification
An exploration of algorithmic discrimination in data and classification
Martin Wahl
Jiuyong Li
Feiyue Ye
Lin Liu
T. Le
Ping Xiong
21
1
0
06 Nov 2018
Discovering Fair Representations in the Data Domain
Discovering Fair Representations in the Data Domain
Novi Quadrianto
V. Sharmanska
Oliver Thomas
21
3
0
15 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and
  Mitigating Unwanted Algorithmic Bias
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
...
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaML
SyDa
65
796
0
03 Oct 2018
Contrastive Explanations with Local Foil Trees
Contrastive Explanations with Local Foil Trees
J. V. D. Waa
M. Robeer
J. Diggelen
Matthieu J. S. Brinkhuis
Mark Antonius Neerincx
FAtt
24
82
0
19 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
66
302
0
15 Jun 2018
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
207
2,092
0
24 Oct 2016
Previous
123