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Metric-Free Individual Fairness in Online Learning
v1v2v3v4v5v6 (latest)

Metric-Free Individual Fairness in Online Learning

13 February 2020
Yahav Bechavod
Christopher Jung
Zhiwei Steven Wu
    FaML
ArXiv (abs)PDFHTML

Papers citing "Metric-Free Individual Fairness in Online Learning"

16 / 16 papers shown
Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
124
4
0
10 Jun 2024
On the Power of Randomization in Fair Classification and Representation
On the Power of Randomization in Fair Classification and Representation
Sushant Agarwal
Amit Deshpande
FaML
83
5
0
05 Jun 2024
Enhancing Group Fairness in Online Settings Using Oblique Decision
  Forests
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
Somnath Basu Roy Chowdhury
Nicholas Monath
Ahmad Beirami
Rahul Kidambi
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
66
2
0
17 Oct 2023
Matrix Estimation for Individual Fairness
Matrix Estimation for Individual Fairness
Cindy Y. Zhang
Sarah H. Cen
Devavrat Shah
FaML
84
4
0
04 Feb 2023
Fairness and Accuracy under Domain Generalization
Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
102
23
0
30 Jan 2023
Fair Decision-making Under Uncertainty
Fair Decision-making Under Uncertainty
Wenbin Zhang
Jeremy C. Weiss
106
38
0
29 Jan 2023
Human-Guided Fair Classification for Natural Language Processing
Human-Guided Fair Classification for Natural Language Processing
Florian E.Dorner
Momchil Peychev
Nikola Konstantinov
Naman Goel
Elliott Ash
Martin Vechev
FaML
71
4
0
20 Dec 2022
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
102
9
0
15 Dec 2022
Doubly Fair Dynamic Pricing
Doubly Fair Dynamic Pricing
Jianyu Xu
Dan Qiao
Yu Wang
82
9
0
23 Sep 2022
Individually Fair Learning with One-Sided Feedback
Individually Fair Learning with One-Sided Feedback
Yahav Bechavod
Aaron Roth
FaML
60
3
0
09 Jun 2022
Imagining new futures beyond predictive systems in child welfare: A
  qualitative study with impacted stakeholders
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Logan Stapleton
Min Hun Lee
Diana Qing
Mary-Frances Wright
Alexandra Chouldechova
Kenneth Holstein
Zhiwei Steven Wu
Haiyi Zhu
91
57
0
18 May 2022
Multi-disciplinary fairness considerations in machine learning for
  clinical trials
Multi-disciplinary fairness considerations in machine learning for clinical trials
Isabel Chien
Nina Deliu
Richard Turner
Adrian Weller
S. Villar
Niki Kilbertus
FaML
71
23
0
18 May 2022
A Sociotechnical View of Algorithmic Fairness
A Sociotechnical View of Algorithmic Fairness
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
76
101
0
27 Sep 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment
  Predictive Systems
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems
H. Cheng
Logan Stapleton
Ruiqi Wang
Paige E Bullock
Alexandra Chouldechova
Zhiwei Steven Wu
Haiyi Zhu
FaML
66
70
0
01 Feb 2021
Metric-Free Individual Fairness with Cooperative Contextual Bandits
Metric-Free Individual Fairness with Cooperative Contextual Bandits
Qian Hu
Huzefa Rangwala
FaML
52
10
0
13 Nov 2020
Individual Fairness in Hindsight
Individual Fairness in Hindsight
Swati Gupta
Vijay Kamble
FaML
89
63
0
10 Dec 2018
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