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2107.04423
Cited By
Multiaccurate Proxies for Downstream Fairness
9 July 2021
Emily Diana
Wesley Gill
Michael Kearns
K. Kenthapadi
Aaron Roth
Saeed Sharifi-Malvajerdi
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Papers citing
"Multiaccurate Proxies for Downstream Fairness"
18 / 18 papers shown
Title
Fairness without Sensitive Attributes via Knowledge Sharing
Hongliang Ni
Lei Han
Tong Chen
S. Sadiq
Gianluca Demartini
26
2
0
27 Sep 2024
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
19
0
0
27 Jun 2024
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning
Kangkang Sun
Xiaojin Zhang
Xi Lin
Gaolei Li
Jing Wang
Jianhua Li
25
4
0
30 Nov 2023
Fairness Under Demographic Scarce Regime
Patrik Joslin Kenfack
Samira Ebrahimi Kahou
Ulrich Aivodji
28
3
0
24 Jul 2023
Balanced Filtering via Disclosure-Controlled Proxies
Siqi Deng
Emily Diana
Michael Kearns
Aaron Roth
17
0
0
26 Jun 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Luke M. Guerdan
Amanda Coston
Zhiwei Steven Wu
Kenneth Holstein
CML
17
26
0
13 Feb 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes
Lunjia Hu
Charlotte Peale
14
6
0
16 Nov 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Y. Liu
14
21
0
06 Oct 2022
Multicalibrated Regression for Downstream Fairness
Ira Globus-Harris
Varun Gupta
Christopher Jung
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
45
11
0
15 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
26
159
0
14 Jul 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
Marc Juárez
Aleksandra Korolova
FedML
28
9
0
24 Jun 2022
Context matters for fairness -- a case study on the effect of spatial distribution shifts
Siamak Ghodsi
Harith Alani
Eirini Ntoutsi
7
2
0
23 Jun 2022
Distributionally Robust Data Join
Pranjal Awasthi
Christopher Jung
Jamie Morgenstern
OOD
9
3
0
11 Feb 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Abdoreza Asadpour
Daniel J. Hsu
89
20
0
22 Dec 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu
Tianyi Luo
Yang Liu
148
39
0
12 Oct 2021
Lexicographically Fair Learning: Algorithms and Generalization
Emily Diana
Wesley Gill
Ira Globus-Harris
Michael Kearns
Aaron Roth
Saeed Sharifi-Malvajerdi
FedML
FaML
65
9
0
16 Feb 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
54
55
0
16 Feb 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,082
0
24 Oct 2016
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