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Fair Bayes-Optimal Classifiers Under Predictive Parity

Fair Bayes-Optimal Classifiers Under Predictive Parity

15 May 2022
Xianli Zeng
Edgar Dobriban
Guang Cheng
    FaML
ArXivPDFHTML

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

11 / 11 papers shown
Title
FairRR: Pre-Processing for Group Fairness through Randomized Response
FairRR: Pre-Processing for Group Fairness through Randomized Response
Xianli Zeng
Joshua Ward
Guang Cheng
19
0
0
12 Mar 2024
How Far Can Fairness Constraints Help Recover From Biased Data?
How Far Can Fairness Constraints Help Recover From Biased Data?
Mohit Sharma
Amit Deshpande
FaML
14
1
0
16 Dec 2023
Group-blind optimal transport to group parity and its constrained
  variants
Group-blind optimal transport to group parity and its constrained variants
Quan-Gen Zhou
Jakub Marecek
24
3
0
17 Oct 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems
Moon Ye-Bin
Nam Hyeon-Woo
Wonseok Choi
Nayeong Kim
Suha Kwak
Tae-Hyun Oh
DiffM
21
3
0
02 Aug 2023
An Operational Perspective to Fairness Interventions: Where and How to
  Intervene
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu
Xiaotong Chen
Ying Han
Hongseok Namkoong
Kinjal Basu
24
1
0
03 Feb 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness
  Interventions
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Hao Wang
Luxi He
Rui Gao
Flavio du Pin Calmon
14
9
0
27 Jan 2023
Fair and Optimal Classification via Post-Processing
Fair and Optimal Classification via Post-Processing
Ruicheng Xian
Lang Yin
Han Zhao
FaML
16
30
0
03 Nov 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
31
159
0
14 Jul 2022
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
A statistical framework for fair predictive algorithms
A statistical framework for fair predictive algorithms
K. Lum
J. Johndrow
FaML
174
104
0
25 Oct 2016
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
2,082
0
24 Oct 2016
1