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1610.08452
Cited By
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
26 October 2016
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
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Papers citing
"Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"
50 / 572 papers shown
Title
Stable and Fair Classification
Lingxiao Huang
Nisheeth K. Vishnoi
FaML
24
71
0
21 Feb 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
Nathan Kallus
Angela Zhou
22
73
0
15 Feb 2019
Policy Learning for Fairness in Ranking
Ashudeep Singh
Thorsten Joachims
OffRL
25
215
0
11 Feb 2019
Fair Decisions Despite Imperfect Predictions
Niki Kilbertus
Manuel Gomez Rodriguez
Bernhard Schölkopf
Krikamol Muandet
Isabel Valera
FaML
OffRL
28
5
0
08 Feb 2019
Noise-tolerant fair classification
A. Lamy
Ziyuan Zhong
A. Menon
Nakul Verma
NoLa
31
76
0
30 Jan 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
Hao Wang
Berk Ustun
Flavio du Pin Calmon
FaML
36
83
0
29 Jan 2019
Improved Adversarial Learning for Fair Classification
L. E. Celis
Vijay Keswani
FaML
32
44
0
29 Jan 2019
Diversity in Faces
Michele Merler
Nalini Ratha
Rogerio Feris
John R. Smith
11
183
0
29 Jan 2019
General Fair Empirical Risk Minimization
L. Oneto
Michele Donini
Massimiliano Pontil
FaML
30
38
0
29 Jan 2019
Fairness in representation: quantifying stereotyping as a representational harm
Mohsen Abbasi
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
6
49
0
28 Jan 2019
Fair Regression for Health Care Spending
A. Zink
Sherri Rose
38
49
0
28 Jan 2019
Fairness risk measures
Robert C. Williamson
A. Menon
FaML
36
135
0
24 Jan 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Jonathan Dodge
Q. V. Liao
Yunfeng Zhang
Rachel K. E. Bellamy
Casey Dugan
FaML
16
125
0
23 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
FaML
24
31
0
15 Jan 2019
Individual Fairness in Hindsight
Swati Gupta
Vijay Kamble
FaML
31
63
0
10 Dec 2018
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
Bashir Rastegarpanah
Krishna P. Gummadi
M. Crovella
24
119
0
02 Dec 2018
Probabilistic Verification of Fairness Properties via Concentration
Osbert Bastani
Xin Zhang
Armando Solar-Lezama
FaML
FedML
17
70
0
02 Dec 2018
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers
Elias Baumann
J. L. Rumberger
FaML
32
4
0
20 Nov 2018
Machine Decisions and Human Consequences
Teresa Scantamburlo
A. Charlesworth
N. Cristianini
FaML
19
20
0
16 Nov 2018
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
51
318
0
14 Nov 2018
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
31
411
0
20 Oct 2018
Taking Advantage of Multitask Learning for Fair Classification
L. Oneto
Michele Donini
Amon Elders
Massimiliano Pontil
FaML
25
60
0
19 Oct 2018
Discovering Fair Representations in the Data Domain
Novi Quadrianto
V. Sharmanska
Oliver Thomas
21
3
0
15 Oct 2018
Tuning Fairness by Balancing Target Labels
T. Kehrenberg
Zexun Chen
Novi Quadrianto
33
4
0
12 Oct 2018
A General Framework for Fair Regression
Jack K. Fitzsimons
AbdulRahman Al Ali
Michael A. Osborne
Stephen J. Roberts
FaML
30
37
0
10 Oct 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
27
24
0
13 Sep 2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Hoda Heidari
M. Loi
Krishna P. Gummadi
Andreas Krause
FaML
14
120
0
10 Sep 2018
Fair Algorithms for Learning in Allocation Problems
Hadi Elzayn
S. Jabbari
Christopher Jung
Michael Kearns
Seth Neel
Aaron Roth
Zachary Schutzman
FaML
9
96
0
30 Aug 2018
Avoiding Disparity Amplification under Different Worldviews
Samuel Yeom
Michael Carl Tschantz
11
20
0
26 Aug 2018
A Central Limit Theorem for
L
p
L_p
L
p
transportation cost with applications to Fairness Assessment in Machine Learning
E. del Barrio
Paula Gordaliza
Jean-Michel Loubes
23
2
0
18 Jul 2018
Fair Task Allocation in Crowdsourced Delivery
Fuat Basık
B. Gedik
Hakan Ferhatosmanoglu
Kun-Lung Wu
16
46
0
09 Jul 2018
Welfare and Distributional Impacts of Fair Classification
Lily Hu
Yiling Chen
FaML
11
24
0
03 Jul 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
Till Speicher
Hoda Heidari
Nina Grgic-Hlaca
Krishna P. Gummadi
Adish Singla
Adrian Weller
Muhammad Bilal Zafar
FaML
22
259
0
02 Jul 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
C. Wadsworth
Francesca Vera
Chris Piech
FaML
33
180
0
30 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
66
302
0
15 Jun 2018
Comparing Fairness Criteria Based on Social Outcome
Junpei Komiyama
Hajime Shimao
FaML
30
3
0
13 Jun 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Hoda Heidari
Claudio Ferrari
Krishna P. Gummadi
Andreas Krause
22
128
0
13 Jun 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus
Adria Gascon
Matt J. Kusner
Michael Veale
Krishna P. Gummadi
Adrian Weller
28
149
0
08 Jun 2018
Obtaining fairness using optimal transport theory
E. del Barrio
Fabrice Gamboa
Paula Gordaliza
Jean-Michel Loubes
FaML
15
179
0
08 Jun 2018
POTs: Protective Optimization Technologies
B. Kulynych
R. Overdorf
Carmela Troncoso
Seda F. Gürses
11
96
0
07 Jun 2018
Removing Algorithmic Discrimination (With Minimal Individual Error)
El-Mahdi El-Mhamdi
R. Guerraoui
L. Hoang
Alexandre Maurer
27
2
0
07 Jun 2018
Causal Interventions for Fairness
Matt J. Kusner
Chris Russell
Joshua R. Loftus
Ricardo M. A. Silva
FaML
24
14
0
06 Jun 2018
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
FaML
36
167
0
04 Jun 2018
Enhancing the Accuracy and Fairness of Human Decision Making
Isabel Valera
Adish Singla
Manuel Gomez Rodriguez
13
35
0
25 May 2018
Incomplete Contracting and AI Alignment
Dylan Hadfield-Menell
Gillian Hadfield
8
80
0
12 Apr 2018
Characterizing Interconnections and Linguistic Patterns in Twitter
Johnnatan Messias
38
0
0
30 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
33
225
0
26 Feb 2018
Empirical Risk Minimization under Fairness Constraints
Michele Donini
L. Oneto
Shai Ben-David
John Shawe-Taylor
Massimiliano Pontil
FaML
38
440
0
23 Feb 2018
Online Learning with an Unknown Fairness Metric
Stephen Gillen
Christopher Jung
Michael Kearns
Aaron Roth
FaML
37
143
0
20 Feb 2018
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
236
676
0
17 Feb 2018
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