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Avoiding Discrimination through Causal Reasoning
v1v2 (latest)

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
    FaMLCML
ArXiv (abs)PDFHTML

Papers citing "Avoiding Discrimination through Causal Reasoning"

20 / 320 papers shown
Title
Removing Algorithmic Discrimination (With Minimal Individual Error)
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
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
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
Causal Reasoning for Algorithmic Fairness
Joshua R. Loftus
Chris Russell
Matt J. Kusner
Ricardo M. A. Silva
FaMLCML
164
137
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
246
483
0
11 May 2018
Supervising Feature Influence
Supervising Feature Influence
S. Sen
Piotr (Peter) Mardziel
Anupam Datta
Matt Fredrikson
CMLOOD
140
8
0
28 Mar 2018
Delayed Impact of Fair Machine Learning
Delayed Impact of Fair Machine LearningInternational 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
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk PredictionThe 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
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
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CMLFaML
289
366
0
22 Feb 2018
On the Direction of Discrimination: An Information-Theoretic Analysis of
  Disparate Impact in Machine Learning
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
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?
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
Conditional Variance Penalties and Domain Shift Robustness
C. Heinze-Deml
N. Meinshausen
OODVLM
305
4
0
31 Oct 2017
On Formalizing Fairness in Prediction with Machine Learning
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane
Mykola Pechenizkiy
FaML
331
221
0
09 Oct 2017
On Fairness and Calibration
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
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
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
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
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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