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1706.02744
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Avoiding Discrimination through Causal Reasoning
Neural Information Processing Systems (NeurIPS), 2017
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 / 320 papers shown
Conditional Learning of Fair Representations
International Conference on Learning Representations (ICLR), 2019
Han Zhao
Amanda Coston
T. Adel
Geoffrey J. Gordon
FaML
283
125
0
16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Neural Information Processing Systems (NeurIPS), 2019
Christopher Frye
C. Rowat
Ilya Feige
338
212
0
14 Oct 2019
Causal Modeling for Fairness in Dynamical Systems
International Conference on Machine Learning (ICML), 2019
Elliot Creager
David Madras
T. Pitassi
R. Zemel
194
69
0
18 Sep 2019
Advancing subgroup fairness via sleeping experts
Information Technology Convergence and Services (ITCS), 2019
Avrim Blum
Thodoris Lykouris
FedML
157
38
0
18 Sep 2019
Learning Fair Rule Lists
Ulrich Aïvodji
Julien Ferry
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
FaML
200
11
0
09 Sep 2019
A Survey on Bias and Fairness in Machine Learning
ACM Computing Surveys (ACM CSUR), 2019
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
1.7K
5,274
0
23 Aug 2019
Data Management for Causal Algorithmic Fairness
IEEE Data Engineering Bulletin (DEB), 2019
Babak Salimi
B. Howe
Dan Suciu
CML
FaML
206
27
0
20 Aug 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction
Machine Learning in Health Care (MLHC), 2019
Stephen Pfohl
Tony Duan
D. Ding
N. Shah
OOD
CML
130
65
0
14 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Niki Kilbertus
Philip J. Ball
Matt J. Kusner
Adrian Weller
Ricardo M. A. Silva
246
61
0
01 Jul 2019
Fairness criteria through the lens of directed acyclic graphical models
Benjamin R. Baer
Daniel E. Gilbert
M. Wells
FaML
106
7
0
26 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Tony Sun
Andrew Gaut
Shirlyn Tang
Yuxin Huang
Mai Elsherief
Jieyu Zhao
Diba Mirza
E. Belding-Royer
Kai-Wei Chang
William Yang Wang
AI4CE
382
615
0
21 Jun 2019
The Price of Local Fairness in Multistage Selection
International Joint Conference on Artificial Intelligence (IJCAI), 2019
V. Emelianov
G. Arvanitakis
Nicolas Gast
Krishna P. Gummadi
Patrick Loiseau
152
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
243
129
0
14 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Neural Information Processing Systems (NeurIPS), 2019
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
L. Oneto
Massimiliano Pontil
FaML
407
96
0
12 Jun 2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
AAAI Conference on Artificial Intelligence (AAAI), 2019
YooJung Choi
G. Farnadi
Behrouz Babaki
Karen Ullrich
FaML
127
31
0
10 Jun 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
Nathan Kallus
Angela Zhou
163
11
0
04 Jun 2019
Optimized Score Transformation for Consistent Fair Classification
Journal of machine learning research (JMLR), 2019
Dennis L. Wei
Karthikeyan N. Ramamurthy
Flavio du Pin Calmon
204
18
0
31 May 2019
On the Fairness of Disentangled Representations
Neural Information Processing Systems (NeurIPS), 2019
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaML
DRL
181
239
0
31 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions
Yixin Wang
Dhanya Sridhar
David M. Blei
FaML
144
21
0
26 May 2019
Fairness in Machine Learning with Tractable Models
Knowledge-Based Systems (KBS), 2019
Michael Varley
Vaishak Belle
FaML
165
12
0
16 May 2019
Fair Classification and Social Welfare
Lily Hu
Yiling Chen
FaML
264
99
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
130
100
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
155
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
420
0
0
26 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi
Luke Rodriguez
Bill Howe
Dan Suciu
FaML
CML
274
30
0
21 Feb 2019
Policy Learning for Fairness in Ranking
Neural Information Processing Systems (NeurIPS), 2019
Ashudeep Singh
Thorsten Joachims
OffRL
227
235
0
11 Feb 2019
Dynamic fairness - Breaking vicious cycles in automatic decision making
The European Symposium on Artificial Neural Networks (ESANN), 2019
Benjamin Paassen
Astrid Bunge
Carolin Hainke
Leon Sindelar
Matthias Vogelsang
FaML
95
11
0
01 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
International Conference on Machine Learning (ICML), 2019
Hao Wang
Berk Ustun
Flavio du Pin Calmon
FaML
299
94
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
493
522
0
27 Jan 2019
Algorithms for Fairness in Sequential Decision Making
Min Wen
Osbert Bastani
Ufuk Topcu
FaML
193
64
0
24 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
FaML
95
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
238
166
0
14 Jan 2019
Probabilistic Verification of Fairness Properties via Concentration
Osbert Bastani
Xin Zhang
Armando Solar-Lezama
FaML
FedML
192
78
0
02 Dec 2018
Racial categories in machine learning
Sebastian Benthall
Bruce D. Haynes
FaML
172
132
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
135
4
0
20 Nov 2018
Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili
Ehsan Kazemi
Amin Karbasi
FaML
190
11
0
12 Nov 2018
On preserving non-discrimination when combining expert advice
Avrim Blum
Suriya Gunasekar
Thodoris Lykouris
Nathan Srebro
FaML
142
30
0
28 Oct 2018
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
347
435
0
20 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom
Anupam Datta
Matt Fredrikson
275
19
0
16 Oct 2018
A General Framework for Fair Regression
Jack K. Fitzsimons
AbdulRahman Al Ali
Michael A. Osborne
Stephen J. Roberts
FaML
288
41
0
10 Oct 2018
Counterfactual Fairness in Text Classification through Robustness
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2018
Sahaj Garg
Vincent Perot
Nicole Limtiaco
Ankur Taly
Ed H. Chi
Alex Beutel
241
275
0
27 Sep 2018
Envy-Free Classification
Maria-Florina Balcan
Travis Dick
Ritesh Noothigattu
Ariel D. Procaccia
FaML
238
40
0
23 Sep 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
155
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
171
74
0
12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
141
0
07 Sep 2018
The Disparate Effects of Strategic Manipulation
Lily Hu
Nicole Immorlica
Jennifer Wortman Vaughan
305
175
0
27 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Anupam Datta
S. Sen
Michael Carl Tschantz
152
5
0
06 Aug 2018
Proxy Fairness
Maya R. Gupta
Andrew Cotter
M. M. Fard
S. Wang
163
75
0
28 Jun 2018
Fairness Under Composition
Cynthia Dwork
Christina Ilvento
FaML
242
132
0
15 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus
Angela Zhou
FaML
350
140
0
07 Jun 2018
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