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Fairness Under Unawareness: Assessing Disparity When Protected Class Is
  Unobserved

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

27 November 2018
Jiahao Chen
Nathan Kallus
Xiaojie Mao
G. Svacha
Madeleine Udell
ArXiv (abs)PDFHTML

Papers citing "Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved"

13 / 63 papers shown
Title
Statistical Equity: A Fairness Classification Objective
Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi
Yuzhong Huang
Fred Morstatter
FaML
49
10
0
14 May 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers
  for Welfare-Aware Machine Learning
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf
Max Simchowitz
Sarah Dean
Lydia T. Liu
Daniel Björkegren
Moritz Hardt
J. Blumenstock
43
23
0
15 Mar 2020
Fair Learning with Private Demographic Data
Fair Learning with Private Demographic Data
Hussein Mozannar
Mesrob I. Ohannessian
Nathan Srebro
94
76
0
26 Feb 2020
Value-laden Disciplinary Shifts in Machine Learning
Value-laden Disciplinary Shifts in Machine Learning
Ravit Dotan
S. Milli
AILaw
84
48
0
03 Dec 2019
Fair Adversarial Gradient Tree Boosting
Fair Adversarial Gradient Tree Boosting
Vincent Grari
Boris Ruf
Sylvain Lamprier
Marcin Detyniecki
FaML
66
34
0
13 Nov 2019
Bias In, Bias Out? Evaluating the Folk Wisdom
Bias In, Bias Out? Evaluating the Folk Wisdom
Ashesh Rambachan
J. Roth
FaML
60
31
0
18 Sep 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDaFaML
603
4,424
0
23 Aug 2019
Transfer of Machine Learning Fairness across Domains
Transfer of Machine Learning Fairness across Domains
Candice Schumann
Xuezhi Wang
Alex Beutel
Jilin Chen
Hai Qian
Ed H. Chi
66
70
0
24 Jun 2019
Equalized odds postprocessing under imperfect group information
Equalized odds postprocessing under imperfect group information
Pranjal Awasthi
Matthäus Kleindessner
Jamie Morgenstern
92
91
0
07 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using
  Data Combination
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
Nathan Kallus
Xiaojie Mao
Angela Zhou
FaML
95
158
0
01 Jun 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Yixin Wang
Dhanya Sridhar
David M. Blei
FaML
70
20
0
26 May 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and
  the xAUC Metric
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
Nathan Kallus
Angela Zhou
102
76
0
15 Feb 2019
A Multidisciplinary Survey and Framework for Design and Evaluation of
  Explainable AI Systems
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni
Niloofar Zarei
Eric D. Ragan
122
102
0
28 Nov 2018
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