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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"

12 / 312 papers shown
Title
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
86
445
0
23 Feb 2018
Path-Specific Counterfactual Fairness
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CMLFaML
97
341
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
73
11
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
91
88
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
80
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
82
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
205
213
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
230
883
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
33
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
77
43
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
52
40
0
26 Jun 2017
Counterfactual Fairness
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
238
1,588
0
20 Mar 2017
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