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Avoiding Discrimination through Causal Reasoning
v1v2 (latest)

Avoiding Discrimination through Causal Reasoning

8 June 2017
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
    FaMLCML
ArXiv (abs)PDFHTML

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 312 papers shown
Title
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Niki Kilbertus
Philip J. Ball
Matt J. Kusner
Adrian Weller
Ricardo M. A. Silva
93
58
0
01 Jul 2019
Fairness criteria through the lens of directed acyclic graphical models
Fairness criteria through the lens of directed acyclic graphical models
Benjamin R. Baer
Daniel E. Gilbert
M. Wells
FaML
72
6
0
26 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun
Andrew Gaut
Shirlyn Tang
Yuxin Huang
Mai Elsherief
Jieyu Zhao
Diba Mirza
E. Belding-Royer
Kai-Wei Chang
William Yang Wang
AI4CE
138
563
0
21 Jun 2019
The Price of Local Fairness in Multistage Selection
The Price of Local Fairness in Multistage Selection
V. Emelianov
G. Arvanitakis
Nicolas Gast
Krishna P. Gummadi
Patrick Loiseau
62
18
0
15 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Emily L. Denton
B. Hutchinson
Margaret Mitchell
Timnit Gebru
Andrew Zaldivar
CVBM
91
129
0
14 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary
  Classification
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
L. Oneto
Massimiliano Pontil
FaML
227
87
0
12 Jun 2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating
  Discrimination Patterns
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
YooJung Choi
G. Farnadi
Behrouz Babaki
Guy Van den Broeck
FaML
80
27
0
10 Jun 2019
Assessing Disparate Impacts of Personalized Interventions:
  Identifiability and Bounds
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
Nathan Kallus
Angela Zhou
76
11
0
04 Jun 2019
Optimized Score Transformation for Consistent Fair Classification
Optimized Score Transformation for Consistent Fair Classification
Dennis L. Wei
Karthikeyan N. Ramamurthy
Flavio du Pin Calmon
54
16
0
31 May 2019
On the Fairness of Disentangled Representations
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaMLDRL
81
227
0
31 May 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
Fairness in Machine Learning with Tractable Models
Fairness in Machine Learning with Tractable Models
Michael Varley
Vaishak Belle
FaML
46
11
0
16 May 2019
Fair Classification and Social Welfare
Fair Classification and Social Welfare
Lily Hu
Yiling Chen
FaML
90
92
0
01 May 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens
  of Causality
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
A. Khademi
Sanghack Lee
David Foley
Vasant Honavar
FaML
76
96
0
27 Mar 2019
The Random Conditional Distribution for Higher-Order Probabilistic
  Inference
The Random Conditional Distribution for Higher-Order Probabilistic Inference
Zenna Tavares
Xin Zhang
Edgar Minaysan
Javier Burroni
Rajesh Ranganath
Armando Solar-Lezama
52
9
0
25 Mar 2019
Understanding Agent Incentives using Causal Influence Diagrams. Part I:
  Single Action Settings
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings
Tom Everitt
Pedro A. Ortega
Elizabeth Barnes
Shane Legg
CML
41
0
0
26 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness
Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi
Luke Rodriguez
Bill Howe
Dan Suciu
FaMLCML
166
30
0
21 Feb 2019
Policy Learning for Fairness in Ranking
Policy Learning for Fairness in Ranking
Ashudeep Singh
Thorsten Joachims
OffRL
98
219
0
11 Feb 2019
Dynamic fairness - Breaking vicious cycles in automatic decision making
Dynamic fairness - Breaking vicious cycles in automatic decision making
Benjamin Paassen
Astrid Bunge
Carolin Hainke
Leon Sindelar
Matthias Vogelsang
FaML
52
11
0
01 Feb 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
123
85
0
29 Jan 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a
  High-Stakes Setting
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Adam Tauman Kalai
208
465
0
27 Jan 2019
Algorithms for Fairness in Sequential Decision Making
Algorithms for Fairness in Sequential Decision Making
Min Wen
Osbert Bastani
Ufuk Topcu
FaML
74
55
0
24 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
38
31
0
15 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and
  Improvements
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel
Jilin Chen
Tulsee Doshi
Hai Qian
Allison Woodruff
Christine Luu
Pierre Kreitmann
Jonathan Bischof
Ed H. Chi
FaML
108
153
0
14 Jan 2019
Probabilistic Verification of Fairness Properties via Concentration
Probabilistic Verification of Fairness Properties via Concentration
Osbert Bastani
Xin Zhang
Armando Solar-Lezama
FaMLFedML
81
72
0
02 Dec 2018
Racial categories in machine learning
Racial categories in machine learning
Sebastian Benthall
Bruce D. Haynes
FaML
88
125
0
28 Nov 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
41
4
0
20 Nov 2018
Eliminating Latent Discrimination: Train Then Mask
Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili
Ehsan Kazemi
Amin Karbasi
FaML
117
11
0
12 Nov 2018
On preserving non-discrimination when combining expert advice
On preserving non-discrimination when combining expert advice
Avrim Blum
Suriya Gunasekar
Thodoris Lykouris
Nathan Srebro
FaML
65
29
0
28 Oct 2018
The Frontiers of Fairness in Machine Learning
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
205
416
0
20 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom
Anupam Datta
Matt Fredrikson
134
19
0
16 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
140
37
0
10 Oct 2018
Counterfactual Fairness in Text Classification through Robustness
Counterfactual Fairness in Text Classification through Robustness
Sahaj Garg
Vincent Perot
Nicole Limtiaco
Ankur Taly
Ed H. Chi
Alex Beutel
102
261
0
27 Sep 2018
Envy-Free Classification
Envy-Free Classification
Maria-Florina Balcan
Travis Dick
Ritesh Noothigattu
Ariel D. Procaccia
FaML
67
39
0
23 Sep 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds
Fairness-aware Classification: Criterion, Convexity, and Bounds
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
62
27
0
13 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Stephen Pfohl
Ben J. Marafino
Adrien Coulet
F. Rodriguez
L. Palaniappan
N. Shah
71
68
0
12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
94
133
0
07 Sep 2018
The Disparate Effects of Strategic Manipulation
The Disparate Effects of Strategic Manipulation
Lily Hu
Nicole Immorlica
Jennifer Wortman Vaughan
144
167
0
27 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should
  Be Studied Together
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Anupam Datta
S. Sen
Michael Carl Tschantz
57
5
0
06 Aug 2018
Proxy Fairness
Proxy Fairness
Maya R. Gupta
Andrew Cotter
M. M. Fard
S. Wang
86
71
0
28 Jun 2018
Fairness Under Composition
Fairness Under Composition
Cynthia Dwork
Christina Ilvento
FaML
114
127
0
15 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus
Angela Zhou
FaML
191
136
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
29
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
133
14
0
06 Jun 2018
Pooling of Causal Models under Counterfactual Fairness via Causal
  Judgement Aggregation
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation
Fabio Massimo Zennaro
Magdalena Ivanovska
CML
50
4
0
24 May 2018
Causal Reasoning for Algorithmic Fairness
Causal Reasoning for Algorithmic Fairness
Joshua R. Loftus
Chris Russell
Matt J. Kusner
Ricardo M. A. Silva
FaMLCML
86
128
0
15 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
S. Kiritchenko
Saif M. Mohammad
FaML
86
442
0
11 May 2018
Supervising Feature Influence
Supervising Feature Influence
S. Sen
Piotr (Peter) Mardziel
Anupam Datta
Matt Fredrikson
CMLOOD
75
8
0
28 Mar 2018
Delayed Impact of Fair Machine Learning
Delayed Impact of Fair Machine Learning
Lydia T. Liu
Sarah Dean
Esther Rolf
Max Simchowitz
Moritz Hardt
FaML
110
478
0
12 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
88
233
0
26 Feb 2018
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