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Equalized odds postprocessing under imperfect group information

Equalized odds postprocessing under imperfect group information

7 June 2019
Pranjal Awasthi
Matthäus Kleindessner
Jamie Morgenstern
ArXivPDFHTML

Papers citing "Equalized odds postprocessing under imperfect group information"

15 / 15 papers shown
Title
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
88
0
0
10 Mar 2025
FairUDT: Fairness-aware Uplift Decision Trees
FairUDT: Fairness-aware Uplift Decision Trees
Anam Zahid
Abdur Rehman Ali
Shaina Raza
Rai Shahnawaz
F. Kamiran
Asim Karim
83
0
0
03 Feb 2025
Multi-Output Distributional Fairness via Post-Processing
Multi-Output Distributional Fairness via Post-Processing
Gang Li
Qihang Lin
Ayush Ghosh
Tianbao Yang
53
0
0
31 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
47
1
0
03 Jul 2024
Fair Ranking with Noisy Protected Attributes
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra
Nisheeth K. Vishnoi
31
16
0
30 Nov 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
FAIR-FATE: Fair Federated Learning with Momentum
FAIR-FATE: Fair Federated Learning with Momentum
Teresa Salazar
Miguel X. Fernandes
Helder Araújo
Pedro Abreu
FedML
38
18
0
27 Sep 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
83
38
0
21 Sep 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
Fair Sequential Selection Using Supervised Learning Models
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
36
20
0
26 Oct 2021
Multiaccurate Proxies for Downstream Fairness
Multiaccurate Proxies for Downstream Fairness
Emily Diana
Wesley Gill
Michael Kearns
K. Kenthapadi
Aaron Roth
Saeed Sharifi-Malvajerdi
35
21
0
09 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
Fairness for Image Generation with Uncertain Sensitive Attributes
A. Jalal
Sushrut Karmalkar
Jessica Hoffmann
A. Dimakis
Eric Price
DiffM
35
39
0
23 Jun 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and
  Incomplete Information
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 Learning with Private Demographic Data
Fair Learning with Private Demographic Data
Hussein Mozannar
Mesrob I. Ohannessian
Nathan Srebro
35
73
0
26 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups
Robust Optimization for Fairness with Noisy Protected Groups
S. Wang
Wenshuo Guo
Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
Michael I. Jordan
NoLa
27
118
0
21 Feb 2020
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