Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1705.10378
Cited By
v1
v2
v3
v4 (latest)
Fair Inference On Outcomes
29 May 2017
Razieh Nabi
I. Shpitser
FaML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fair Inference On Outcomes"
24 / 124 papers shown
Title
Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi
Luke Rodriguez
Bill Howe
Dan Suciu
FaML
CML
166
30
0
21 Feb 2019
General Fair Empirical Risk Minimization
L. Oneto
Michele Donini
Massimiliano Pontil
FaML
110
40
0
29 Jan 2019
Algorithms for Fairness in Sequential Decision Making
Min Wen
Osbert Bastani
Ufuk Topcu
FaML
74
55
0
24 Jan 2019
Probabilistic Verification of Fairness Properties via Concentration
Osbert Bastani
Xin Zhang
Armando Solar-Lezama
FaML
FedML
81
72
0
02 Dec 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
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
205
416
0
20 Oct 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
Learning Optimal Fair Policies
Razieh Nabi
Daniel Malinsky
I. Shpitser
FaML
81
87
0
06 Sep 2018
Causal Interventions for Fairness
Matt J. Kusner
Chris Russell
Joshua R. Loftus
Ricardo M. A. Silva
FaML
133
14
0
06 Jun 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
Delayed Impact of Fair Machine Learning
Lydia T. Liu
Sarah Dean
Esther Rolf
Max Simchowitz
Moritz Hardt
FaML
112
478
0
12 Mar 2018
On Discrimination Discovery and Removal in Ranked Data using Causal Graph
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
CML
49
47
0
05 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
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
Silvia Chiappa
Thomas P. S. Gillam
CML
FaML
97
341
0
22 Feb 2018
Does mitigating ML's impact disparity require treatment disparity?
Zachary Chase Lipton
Alexandra Chouldechova
Julian McAuley
80
16
0
19 Nov 2017
On Formalizing Fairness in Prediction with Machine Learning
Pratik Gajane
Mykola Pechenizkiy
FaML
205
213
0
09 Oct 2017
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
Yaácov Ritov
Yuekai Sun
Ruofei Zhao
54
40
0
26 Jun 2017
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
168
585
0
08 Jun 2017
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
238
1,588
0
20 Mar 2017
Achieving non-discrimination in prediction
Lu Zhang
Yongkai Wu
Xintao Wu
FaML
83
32
0
28 Feb 2017
Previous
1
2
3