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Stable and Fair Classification

Stable and Fair Classification

21 February 2019
Lingxiao Huang
Nisheeth K. Vishnoi
    FaML
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Papers citing "Stable and Fair Classification"

9 / 9 papers shown
Title
Building a stable classifier with the inflated argmax
Building a stable classifier with the inflated argmax
Jake A. Soloff
Rina Foygel Barber
Rebecca Willett
47
2
0
22 May 2024
On Learning Fairness and Accuracy on Multiple Subgroups
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles X. Ling
Tal Arbel
Boyu Wang
Christian Gagné
32
37
0
19 Oct 2022
Algorithmic decision making methods for fair credit scoring
Algorithmic decision making methods for fair credit scoring
Darie Moldovan
FaML
20
6
0
16 Sep 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive
  Adversarial Learning
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi
Fangzhao Wu
Chuhan Wu
Lingjuan Lyu
Tongye Xu
Zhongliang Yang
Yongfeng Huang
Xing Xie
FedML
11
35
0
07 Jun 2022
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
29
108
0
21 Apr 2022
A Distributionally Robust Approach to Fair Classification
A Distributionally Robust Approach to Fair Classification
Bahar Taşkesen
Viet Anh Nguyen
Daniel Kuhn
Jose H. Blanchet
FaML
6
60
0
18 Jul 2020
Fair Outlier Detection
Fair Outlier Detection
D. P.
Savitha Sam Abraham
FaML
10
17
0
20 May 2020
Statistical Equity: A Fairness Classification Objective
Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi
Yuzhong Huang
Fred Morstatter
FaML
12
10
0
14 May 2020
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Dylan Slack
Sorelle A. Friedler
Emile Givental
FaML
11
54
0
24 Aug 2019
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