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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"
20 / 320 papers shown
Title
Removing Algorithmic Discrimination (With Minimal Individual Error)
El-Mahdi El-Mhamdi
R. Guerraoui
L. Hoang
Alexandre Maurer
110
2
0
07 Jun 2018
Causal Interventions for Fairness
Matt J. Kusner
Chris Russell
Joshua R. Loftus
Ricardo M. A. Silva
FaML
198
15
0
06 Jun 2018
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation
Fabio Massimo Zennaro
Magdalena Ivanovska
CML
104
4
0
24 May 2018
Causal Reasoning for Algorithmic Fairness
Joshua R. Loftus
Chris Russell
Matt J. Kusner
Ricardo M. A. Silva
FaML
CML
164
137
0
15 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
S. Kiritchenko
Saif M. Mohammad
FaML
246
483
0
11 May 2018
Supervising Feature Influence
S. Sen
Piotr (Peter) Mardziel
Anupam Datta
Matt Fredrikson
CML
OOD
140
8
0
28 Mar 2018
Delayed Impact of Fair Machine Learning
International Conference on Machine Learning (ICML), 2018
Lydia T. Liu
Sarah Dean
Esther Rolf
Max Simchowitz
Moritz Hardt
FaML
314
500
0
12 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
The Web Conference (WWW), 2018
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
128
237
0
26 Feb 2018
Empirical Risk Minimization under Fairness Constraints
Michele Donini
L. Oneto
Shai Ben-David
John Shawe-Taylor
Massimiliano Pontil
FaML
259
475
0
23 Feb 2018
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CML
FaML
289
366
0
22 Feb 2018
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning
Hao Wang
Berk Ustun
Flavio du Pin Calmon
FaML
151
12
0
16 Jan 2018
Calibration for the (Computationally-Identifiable) Masses
Úrsula Hébert-Johnson
Michael P. Kim
Omer Reingold
G. Rothblum
FaML
153
92
0
22 Nov 2017
Does mitigating ML's impact disparity require treatment disparity?
Zachary Chase Lipton
Alexandra Chouldechova
Julian McAuley
163
16
0
19 Nov 2017
Conditional Variance Penalties and Domain Shift Robustness
C. Heinze-Deml
N. Meinshausen
OOD
VLM
305
4
0
31 Oct 2017
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane
Mykola Pechenizkiy
FaML
331
221
0
09 Oct 2017
On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
FaML
361
946
0
06 Sep 2017
Proxy Non-Discrimination in Data-Driven Systems
Anupam Datta
Matt Fredrikson
Gihyuk Ko
Piotr (Peter) Mardziel
S. Sen
113
47
0
25 Jul 2017
Decoupled classifiers for fair and efficient machine learning
Cynthia Dwork
Nicole Immorlica
Adam Tauman Kalai
Max D. M. Leiserson
FaML
130
44
0
20 Jul 2017
On conditional parity as a notion of non-discrimination in machine learning
Yaácov Ritov
Yuekai Sun
Ruofei Zhao
105
40
0
26 Jun 2017
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
661
1,732
0
20 Mar 2017
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