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  4. Cited By
Fairness Beyond Disparate Treatment & Disparate Impact: Learning
  Classification without Disparate Mistreatment

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
ArXivPDFHTML

Papers citing "Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"

50 / 572 papers shown
Title
Stable and Fair Classification
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
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
Policy Learning for Fairness in Ranking
Ashudeep Singh
Thorsten Joachims
OffRL
25
215
0
11 Feb 2019
Fair Decisions Despite Imperfect Predictions
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
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
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
Improved Adversarial Learning for Fair Classification
L. E. Celis
Vijay Keswani
FaML
32
44
0
29 Jan 2019
Diversity in Faces
Diversity in Faces
Michele Merler
Nalini Ratha
Rogerio Feris
John R. Smith
11
183
0
29 Jan 2019
General Fair Empirical Risk Minimization
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
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
Fair Regression for Health Care Spending
A. Zink
Sherri Rose
38
49
0
28 Jan 2019
Fairness risk measures
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
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
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
FaML
24
31
0
15 Jan 2019
Individual Fairness in Hindsight
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
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
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
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
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
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
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
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
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
Tuning Fairness by Balancing Target Labels
T. Kehrenberg
Zexun Chen
Novi Quadrianto
33
4
0
12 Oct 2018
A General Framework for Fair Regression
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
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
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
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
Avoiding Disparity Amplification under Different Worldviews
Samuel Yeom
Michael Carl Tschantz
11
20
0
26 Aug 2018
A Central Limit Theorem for $L_p$ transportation cost with applications
  to Fairness Assessment in Machine Learning
A Central Limit Theorem for LpL_pLp​ 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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
Incomplete Contracting and AI Alignment
Dylan Hadfield-Menell
Gillian Hadfield
8
80
0
12 Apr 2018
Characterizing Interconnections and Linguistic Patterns in Twitter
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
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
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
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
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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