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On Learning Fairness and Accuracy on Multiple Subgroups

On Learning Fairness and Accuracy on Multiple Subgroups

19 October 2022
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles X. Ling
Tal Arbel
Boyu Wang
Christian Gagné
ArXivPDFHTML

Papers citing "On Learning Fairness and Accuracy on Multiple Subgroups"

27 / 27 papers shown
Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Z. Li
Yang Zhang
Dong Wang
CVBM
31
0
0
03 May 2025
M$^2$FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
M2^22FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen S. B. Pereira
Giovani Valdrighi
Marcos Medeiros Raimundo
FaML
32
0
0
16 Apr 2025
Fairness without Demographics through Learning Graph of Gradients
Fairness without Demographics through Learning Graph of Gradients
Yingtao Luo
Z. Li
Qiang Liu
Jun Zhu
69
0
0
31 Dec 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with
  Fairness-Driven Low-Rank Adaptation
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation
Rohan Sukumaran
Aarash Feizi
Adriana Romero-Sorian
G. Farnadi
29
1
0
22 Oct 2024
Fairness-Aware Estimation of Graphical Models
Fairness-Aware Estimation of Graphical Models
Zhuoping Zhou
Davoud Ataee Tarzanagh
Bojian Hou
Qi Long
Li Shen
33
0
0
30 Aug 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
32
0
0
02 Jul 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers
On the Maximal Local Disparity of Fairness-Aware Classifiers
Jinqiu Jin
Haoxuan Li
Fuli Feng
24
0
0
05 Jun 2024
Intersectional Unfairness Discovery
Intersectional Unfairness Discovery
Gezheng Xu
Qi Chen
Charles X. Ling
Boyu Wang
Changjian Shui
28
2
0
31 May 2024
Towards Standardizing AI Bias Exploration
Towards Standardizing AI Bias Exploration
Emmanouil Krasanakis
Symeon Papadopoulos
24
3
0
29 May 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
21
5
0
15 Mar 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
30
2
0
20 Feb 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Sina Baharlouei
Shivam Patel
Meisam Razaviyayn
22
4
0
06 Dec 2023
Balancing Act: Constraining Disparate Impact in Sparse Models
Balancing Act: Constraining Disparate Impact in Sparse Models
Meraj Hashemizadeh
Juan Ramirez
Rohan Sukumaran
G. Farnadi
Simon Lacoste-Julien
Jose Gallego-Posada
20
4
0
31 Oct 2023
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off
  Pareto Frontier
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier
Hua Tang
Lu Cheng
Ninghao Liu
Mengnan Du
FaML
8
1
0
19 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
15
3
0
17 Oct 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
Xiaotian Han
Jianfeng Chi
Yu Chen
Qifan Wang
Han Zhao
Na Zou
Xia Hu
23
23
0
15 Jun 2023
A Survey on Intersectional Fairness in Machine Learning: Notions,
  Mitigation, and Challenges
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
Usman Gohar
Lu Cheng
FaML
9
18
0
11 May 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
Qi Chen
M. Marchand
OOD
15
5
0
04 Apr 2023
Multi-dimensional discrimination in Law and Machine Learning -- A
  comparative overview
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview
Arjun Roy
J. Horstmann
Eirini Ntoutsi
FaML
6
20
0
12 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles X. Ling
A. McLeod
Boyu Wang
16
39
0
31 Jan 2023
On Fairness of Medical Image Classification with Multiple Sensitive
  Attributes via Learning Orthogonal Representations
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
25
17
0
04 Jan 2023
Fair Representation Learning through Implicit Path Alignment
Fair Representation Learning through Implicit Path Alignment
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
31
27
0
26 May 2022
Gap Minimization for Knowledge Sharing and Transfer
Gap Minimization for Knowledge Sharing and Transfer
Boyu Wang
Jorge Armando Mendez Mendez
Changjian Shui
Fan Zhou
Di Wu
Gezheng Xu
Christian Gagné
Eric Eaton
13
10
0
26 Jan 2022
Generalization Bounds For Meta-Learning: An Information-Theoretic
  Analysis
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi Chen
Changjian Shui
M. Marchand
27
43
0
29 Sep 2021
Fairness-aware Class Imbalanced Learning
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian
Afshin Rahimi
Timothy Baldwin
Trevor Cohn
Lea Frermann
FaML
99
28
0
21 Sep 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
205
663
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
185
2,079
0
24 Oct 2016
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