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1706.02744
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Avoiding Discrimination through Causal Reasoning
8 June 2017
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
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Papers citing
"Avoiding Discrimination through Causal Reasoning"
50 / 312 papers shown
Title
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
Benjamin R. Baer
Daniel E. Gilbert
M. Wells
FaML
72
6
0
26 Jun 2019
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
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
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
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
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
Nathan Kallus
Angela Zhou
76
11
0
04 Jun 2019
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
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaML
DRL
81
227
0
31 May 2019
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
Michael Varley
Vaishak Belle
FaML
46
11
0
16 May 2019
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
A. Khademi
Sanghack Lee
David Foley
Vasant Honavar
FaML
76
96
0
27 Mar 2019
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
Tom Everitt
Pedro A. Ortega
Elizabeth Barnes
Shane Legg
CML
41
0
0
26 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi
Luke Rodriguez
Bill Howe
Dan Suciu
FaML
CML
166
30
0
21 Feb 2019
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
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
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
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
Min Wen
Osbert Bastani
Ufuk Topcu
FaML
74
55
0
24 Jan 2019
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
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
Osbert Bastani
Xin Zhang
Armando Solar-Lezama
FaML
FedML
81
72
0
02 Dec 2018
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
Elias Baumann
J. L. Rumberger
FaML
41
4
0
20 Nov 2018
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
Avrim Blum
Suriya Gunasekar
Thodoris Lykouris
Nathan Srebro
FaML
65
29
0
28 Oct 2018
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
Samuel Yeom
Anupam Datta
Matt Fredrikson
134
19
0
16 Oct 2018
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
Sahaj Garg
Vincent Perot
Nicole Limtiaco
Ankur Taly
Ed H. Chi
Alex Beutel
102
261
0
27 Sep 2018
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
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
62
27
0
13 Sep 2018
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
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
94
133
0
07 Sep 2018
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
Anupam Datta
S. Sen
Michael Carl Tschantz
57
5
0
06 Aug 2018
Proxy Fairness
Maya R. Gupta
Andrew Cotter
M. M. Fard
S. Wang
86
71
0
28 Jun 2018
Fairness Under Composition
Cynthia Dwork
Christina Ilvento
FaML
114
127
0
15 Jun 2018
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)
El-Mahdi El-Mhamdi
R. Guerraoui
L. Hoang
Alexandre Maurer
29
2
0
07 Jun 2018
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
Fabio Massimo Zennaro
Magdalena Ivanovska
CML
50
4
0
24 May 2018
Causal Reasoning for Algorithmic Fairness
Joshua R. Loftus
Chris Russell
Matt J. Kusner
Ricardo M. A. Silva
FaML
CML
86
128
0
15 May 2018
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
S. Sen
Piotr (Peter) Mardziel
Anupam Datta
Matt Fredrikson
CML
OOD
75
8
0
28 Mar 2018
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
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
88
233
0
26 Feb 2018
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