Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1609.05807
Cited By
v1
v2 (latest)
Inherent Trade-Offs in the Fair Determination of Risk Scores
19 September 2016
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Inherent Trade-Offs in the Fair Determination of Risk Scores"
50 / 747 papers shown
Title
Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili
Ehsan Kazemi
Amin Karbasi
FaML
117
11
0
12 Nov 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
N. Saxena
Karen Huang
Evan DeFilippis
Goran Radanović
David C. Parkes
Yang Liu
FaML
113
180
0
08 Nov 2018
An exploration of algorithmic discrimination in data and classification
Martin Wahl
Jiuyong Li
Feiyue Ye
Lin Liu
T. Le
Ping Xiong
59
1
0
06 Nov 2018
FairMod - Making Predictive Models Discrimination Aware
Jixue Liu
Jiuyong Li
Lin Liu
T. Le
Feiyue Ye
Gefei Li
20
1
0
05 Nov 2018
The Price of Fair PCA: One Extra Dimension
Samira Samadi
U. Tantipongpipat
Jamie Morgenstern
Mohit Singh
Santosh Vempala
FaML
139
158
0
31 Oct 2018
Crowdsourcing with Fairness, Diversity and Budget Constraints
Naman Goel
Boi Faltings
FaML
85
20
0
31 Oct 2018
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing
Bettina Berendt
62
75
0
30 Oct 2018
On preserving non-discrimination when combining expert advice
Avrim Blum
Suriya Gunasekar
Thodoris Lykouris
Nathan Srebro
FaML
65
29
0
28 Oct 2018
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova
Aaron Roth
FaML
205
416
0
20 Oct 2018
Discovering Fair Representations in the Data Domain
Novi Quadrianto
V. Sharmanska
Oliver Thomas
82
3
0
15 Oct 2018
Tuning Fairness by Balancing Target Labels
T. Kehrenberg
Zexun Chen
Novi Quadrianto
79
4
0
12 Oct 2018
Understanding the Origins of Bias in Word Embeddings
Marc-Etienne Brunet
Colleen Alkalay-Houlihan
Ashton Anderson
R. Zemel
FaML
85
202
0
08 Oct 2018
From Soft Classifiers to Hard Decisions: How fair can we be?
R. Canetti
A. Cohen
Nishanth Dikkala
Govind Ramnarayan
Sarah Scheffler
Adam D. Smith
FaML
157
60
0
03 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy
Kuntal Dey
Michael Hind
Samuel C. Hoffman
Stephanie Houde
...
Diptikalyan Saha
P. Sattigeri
Moninder Singh
Kush R. Varshney
Yunfeng Zhang
FaML
SyDa
136
813
0
03 Oct 2018
Active Fairness in Algorithmic Decision Making
Alejandro Noriega-Campero
Michiel A. Bakker
Bernardo Garcia-Bulle
Alex Pentland
FaML
82
85
0
28 Sep 2018
Evaluating Fairness Metrics in the Presence of Dataset Bias
J. Hinnefeld
Peter Cooman
Nat Mammo
Rupert Deese
FaML
54
37
0
24 Sep 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
62
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
71
68
0
12 Sep 2018
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability
Jon M. Kleinberg
S. Mullainathan
56
70
0
12 Sep 2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity
Hoda Heidari
M. Loi
Krishna P. Gummadi
Andreas Krause
FaML
85
121
0
10 Sep 2018
Fair Algorithms for Learning in Allocation Problems
Hadi Elzayn
S. Jabbari
Christopher Jung
Michael Kearns
Seth Neel
Aaron Roth
Zachary Schutzman
FaML
97
96
0
30 Aug 2018
The implicit fairness criterion of unconstrained learning
Lydia T. Liu
Max Simchowitz
Moritz Hardt
FedML
FaML
55
1
0
29 Aug 2018
Investigating Human + Machine Complementarity for Recidivism Predictions
S. Tan
Julius Adebayo
K. Quinn
Ece Kamar
FaML
69
54
0
28 Aug 2018
Downstream Effects of Affirmative Action
Sampath Kannan
Aaron Roth
Juba Ziani
81
87
0
27 Aug 2018
Avoiding Disparity Amplification under Different Worldviews
Samuel Yeom
Michael Carl Tschantz
119
20
0
26 Aug 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
115
209
0
24 Aug 2018
Approximation Trees: Statistical Stability in Model Distillation
Yichen Zhou
Zhengze Zhou
Giles Hooker
154
23
0
22 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together
Anupam Datta
S. Sen
Michael Carl Tschantz
57
5
0
06 Aug 2018
Confidence Intervals for Testing Disparate Impact in Fair Learning
Philippe C. Besse
E. del Barrio
Paula Gordaliza
Jean-Michel Loubes
CML
56
18
0
17 Jul 2018
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach
Yeounoh Chung
Tim Kraska
N. Polyzotis
Ki Hyun Tae
Steven Euijong Whang
119
131
0
16 Jul 2018
Welfare and Distributional Impacts of Fair Classification
Lily Hu
Yiling Chen
FaML
67
24
0
03 Jul 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
Till Speicher
Hoda Heidari
Nina Grgic-Hlaca
Krishna P. Gummadi
Adish Singla
Adrian Weller
Muhammad Bilal Zafar
FaML
106
265
0
02 Jul 2018
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics
Roel Dobbe
Sarah Dean
T. Gilbert
Nitin Kohli
100
40
0
02 Jul 2018
Gradient Reversal Against Discrimination
Edward Raff
Jared Sylvester
76
38
0
01 Jul 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
C. Wadsworth
Francesca Vera
Chris Piech
FaML
99
180
0
30 Jun 2018
Equalizing Financial Impact in Supervised Learning
Govind Ramnarayan
FaML
18
1
0
24 Jun 2018
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Percy Liang
FaML
149
585
0
20 Jun 2018
Fairness Under Composition
Cynthia Dwork
Christina Ilvento
FaML
114
127
0
15 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
253
310
0
15 Jun 2018
Comparing Fairness Criteria Based on Social Outcome
Junpei Komiyama
Hajime Shimao
FaML
59
3
0
13 Jun 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Hoda Heidari
Claudio Ferrari
Krishna P. Gummadi
Andreas Krause
105
133
0
13 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus
Angela Zhou
FaML
197
136
0
07 Jun 2018
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
Emilia Gómez
Carlos Castillo
V. Charisi
V. Dahl
G. Deco
...
Núria Sebastián
Xavier Serra
Joan Serrà
Songül Tolan
Karina Vold
65
11
0
07 Jun 2018
Causal Interventions for Fairness
Matt J. Kusner
Chris Russell
Joshua R. Loftus
Ricardo M. A. Silva
FaML
133
14
0
06 Jun 2018
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
FaML
95
171
0
04 Jun 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation
Manish Raghavan
Aleksandrs Slivkins
Jennifer Wortman Vaughan
Zhiwei Steven Wu
241
53
0
01 Jun 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
Michael P. Kim
Amirata Ghorbani
James Zou
MLAU
248
346
0
31 May 2018
Why Is My Classifier Discriminatory?
Irene Y. Chen
Fredrik D. Johansson
David Sontag
FaML
99
399
0
30 May 2018
Fairness GAN
P. Sattigeri
Samuel C. Hoffman
Vijil Chenthamarakshan
Kush R. Varshney
131
93
0
24 May 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
Previous
1
2
3
...
13
14
15
Next