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. 2205.07182
  4. Cited By
Fair Bayes-Optimal Classifiers Under Predictive Parity

Fair Bayes-Optimal Classifiers Under Predictive Parity

15 May 2022
Xianli Zeng
Yan Sun
Guang Cheng
    FaML
ArXivPDFHTML

Papers citing "Fair Bayes-Optimal Classifiers Under Predictive Parity"

11 / 11 papers shown
Title
Bayes-Optimal Classifiers under Group Fairness
Bayes-Optimal Classifiers under Group Fairness
Xianli Zeng
Yan Sun
Guang Cheng
FaML
128
23
0
20 Feb 2022
Classification with abstention but without disparities
Classification with abstention but without disparities
Nicolas Schreuder
Evgenii Chzhen
FaML
60
23
0
24 Feb 2021
Fair Attribute Classification through Latent Space De-biasing
Fair Attribute Classification through Latent Space De-biasing
V. V. Ramaswamy
Sunnie S. Y. Kim
Olga Russakovsky
54
163
0
02 Dec 2020
Learning Certified Individually Fair Representations
Learning Certified Individually Fair Representations
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
31
94
0
24 Feb 2020
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary
  Classification
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
L. Oneto
Massimiliano Pontil
FaML
157
85
0
12 Jun 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
356
681
0
17 Feb 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
295
2,109
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
194
4,301
0
07 Oct 2016
Satisfying Real-world Goals with Dataset Constraints
Satisfying Real-world Goals with Dataset Constraints
Gabriel Goh
Andrew Cotter
Maya R. Gupta
M. Friedlander
OffRL
60
215
0
24 Jun 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
700
27,303
0
02 Dec 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
171
1,984
0
11 Dec 2014
1