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Equality of Opportunity in Supervised Learning

Equality of Opportunity in Supervised Learning

7 October 2016
Moritz Hardt
Eric Price
Nathan Srebro
    FaML
ArXivPDFHTML

Papers citing "Equality of Opportunity in Supervised Learning"

16 / 66 papers shown
Title
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs
Debolina Halder Lina
Arlei Silva
73
0
0
02 Nov 2023
Performative Prediction: Past and Future
Performative Prediction: Past and Future
Moritz Hardt
Celestine Mendler-Dünner
75
23
0
25 Oct 2023
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
David Liu
Jackie Baek
Tina Eliassi-Rad
51
0
0
15 Oct 2023
Increasing Fairness via Combination with Learning Guarantees
Increasing Fairness via Combination with Learning Guarantees
Yijun Bian
Kun Zhang
FaML
80
2
0
25 Jan 2023
(Im)possibility of Collective Intelligence
(Im)possibility of Collective Intelligence
Krikamol Muandet
154
6
0
05 Jun 2022
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
80
2
0
21 Apr 2021
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Jiawei Zhang
Peijun Xiao
Ruoyu Sun
Zhi-Quan Luo
78
98
0
29 Oct 2020
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
Kenji Kobayashi
Yuri Nakao
FaML
54
8
0
26 Oct 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems
  Approach to Incorporate Societal Context
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
Donald Martin
Vinodkumar Prabhakaran
Jill A. Kuhlberg
A. Smart
William S. Isaac
FaML
38
40
0
17 Jun 2020
Mitigating Gender Bias in Captioning Systems
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
Mengnan Du
Yuening Li
Zirui Liu
Na Zou
Xia Hu
FaML
37
66
0
15 Jun 2020
Efficient Fair Principal Component Analysis
Efficient Fair Principal Component Analysis
Mohammad Mahdi Kamani
Farzin Haddadpour
R. Forsati
M. Mahdavi
43
36
0
12 Nov 2019
Fairness Violations and Mitigation under Covariate Shift
Fairness Violations and Mitigation under Covariate Shift
Harvineet Singh
Rina Singh
Vishwali Mhasawade
R. Chunara
OOD
41
15
0
02 Nov 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained
  Classifiers
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers
Ananth Balashankar
Alyssa Lees
Chris Welty
L. Subramanian
38
21
0
30 Oct 2019
An Empirical Study on Learning Fairness Metrics for COMPAS Data with
  Human Supervision
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision
Hanchen Wang
Nina Grgic-Hlaca
Preethi Lahoti
Krishna P. Gummadi
Adrian Weller
FaML
119
26
0
22 Oct 2019
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
84
1,762
0
19 Sep 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
127
1,978
0
11 Dec 2014
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