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Unbiased Subdata Selection for Fair Classification: A Unified Framework
  and Scalable Algorithms

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms

22 December 2020
Qing Ye
Weijun Xie
    FaML
ArXivPDFHTML

Papers citing "Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms"

6 / 6 papers shown
Title
Fairness Risks for Group-conditionally Missing Demographics
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
105
0
0
20 Feb 2024
Learning Fair Policies for Multi-stage Selection Problems from
  Observational Data
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
FaML
23
2
0
20 Dec 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Julien Rouzot
Julien Ferry
Marie-José Huguet
FaML
19
8
0
11 Apr 2023
Optimal Decision Diagrams for Classification
Optimal Decision Diagrams for Classification
Alexandre M. Florio
P. Martins
Maximilian Schiffer
Thiago Serra
Thibaut Vidal
24
12
0
28 May 2022
Blackbox Post-Processing for Multiclass Fairness
Blackbox Post-Processing for Multiclass Fairness
Preston J. Putzel
Scott Lee
FaML
25
18
0
12 Jan 2022
Fairness guarantee in multi-class classification
Fairness guarantee in multi-class classification
Christophe Denis
Romuald Elie
Mohamed Hebiri
Franccois Hu
FaML
43
48
0
28 Sep 2021
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