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Ensuring Fairness Beyond the Training Data

Ensuring Fairness Beyond the Training Data

12 July 2020
Debmalya Mandal
Samuel Deng
Suman Jana
Jeannette M. Wing
Daniel J. Hsu
    FaML
    OOD
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Papers citing "Ensuring Fairness Beyond the Training Data"

15 / 15 papers shown
Title
Graph Fairness Learning under Distribution Shifts
Graph Fairness Learning under Distribution Shifts
Yibo Li
Xiao Wang
Yujie Xing
Shaohua Fan
Ruijia Wang
Yaoqi Liu
Chuan Shi
OOD
39
7
0
30 Jan 2024
Towards Fair and Calibrated Models
Towards Fair and Calibrated Models
Anand Brahmbhatt
Vipul Rathore
Mausam
Parag Singla
FaML
21
2
0
16 Oct 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust
  Optimization
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
Sangwon Jung
Taeeon Park
Sanghyuk Chun
Taesup Moon
11
19
0
01 Mar 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
A Survey on Preserving Fairness Guarantees in Changing Environments
A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
FaML
29
3
0
14 Nov 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
60
11
0
04 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency
  Regularization
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An
Zora Che
Mucong Ding
Furong Huang
24
31
0
26 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms
  for Neural Networks
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
Kiarash Mohammadi
Aishwarya Sivaraman
G. Farnadi
25
5
0
01 Jun 2022
Sample Selection for Fair and Robust Training
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
21
61
0
27 Oct 2021
Certifying Robustness to Programmable Data Bias in Decision Trees
Certifying Robustness to Programmable Data Bias in Decision Trees
Anna P. Meyer
Aws Albarghouthi
Loris Dántoni
27
21
0
08 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
61
519
0
31 Aug 2021
Characterizing the risk of fairwashing
Characterizing the risk of fairwashing
Ulrich Aïvodji
Hiromi Arai
Sébastien Gambs
Satoshi Hara
23
27
0
14 Jun 2021
Fairness with Continuous Optimal Transport
Fairness with Continuous Optimal Transport
Silvia Chiappa
Aldo Pacchiano
OT
40
12
0
06 Jan 2021
Ensuring Fairness under Prior Probability Shifts
Ensuring Fairness under Prior Probability Shifts
Arpita Biswas
Suvam Mukherjee
OOD
21
33
0
06 May 2020
Trustworthy AI
Trustworthy AI
Jeannette M. Wing
30
215
0
14 Feb 2020
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