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Inherent Trade-Offs in the Fair Determination of Risk Scores
19 September 2016
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
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Papers citing
"Inherent Trade-Offs in the Fair Determination of Risk Scores"
47 / 747 papers shown
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A high-bias, low-variance introduction to Machine Learning for physicists
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Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
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156
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Delayed Impact of Fair Machine Learning
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Sarah Dean
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Probably Approximately Metric-Fair Learning
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08 Mar 2018
Fairness Through Computationally-Bounded Awareness
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Omer Reingold
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99
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A Reductions Approach to Fair Classification
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236
1,108
0
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Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
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Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
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88
233
0
26 Feb 2018
Path-Specific Counterfactual Fairness
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Thomas P. S. Gillam
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97
341
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22 Feb 2018
Online Learning with an Unknown Fairness Metric
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Christopher Jung
Michael Kearns
Aaron Roth
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144
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20 Feb 2018
Learning Adversarially Fair and Transferable Representations
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Elliot Creager
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388
685
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Fair Clustering Through Fairlets
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Ravi Kumar
Silvio Lattanzi
Sergei Vassilvitskii
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439
0
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A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
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123
648
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Mitigating Unwanted Biases with Adversarial Learning
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Blake Lemoine
Margaret Mitchell
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209
1,400
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Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
Chelsea Barabas
Karthik Dinakar
Joichi Ito
M. Virza
Jonathan Zittrain
124
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21 Dec 2017
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport
Meike Zehlike
P. Hacker
Emil Wiedemann
54
19
0
21 Dec 2017
Paradoxes in Fair Computer-Aided Decision Making
Andrew Morgan
R. Pass
FaML
59
9
0
29 Nov 2017
Calibration for the (Computationally-Identifiable) Masses
Úrsula Hébert-Johnson
Michael P. Kim
Omer Reingold
G. Rothblum
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91
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22 Nov 2017
Does mitigating ML's impact disparity require treatment disparity?
Zachary Chase Lipton
Alexandra Chouldechova
Julian McAuley
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Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
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R. Zemel
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210
221
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Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
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211
785
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14 Nov 2017
Calibration of Machine Learning Classifiers for Probability of Default Modelling
Pedro G. Fonseca
Hugo D. Lopes
32
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0
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Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
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R. Caruana
Giles Hooker
Yin Lou
MLAU
148
188
0
17 Oct 2017
Spectral Algorithms for Computing Fair Support Vector Machines
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A. Aswani
FaML
75
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0
16 Oct 2017
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups
Janis Kalofolias
Mario Boley
Jilles Vreeken
52
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0
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On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
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232
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The impossibility of "fairness": a generalized impossibility result for decisions
Thomas Miconi
66
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Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel
Jilin Chen
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Ed H. Chi
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121
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Fairer and more accurate, but for whom?
Alexandra Chouldechova
M. G'Sell
89
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Penalizing Unfairness in Binary Classification
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Katrina Ligett
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95
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0
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From Parity to Preference-based Notions of Fairness in Classification
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Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
Adrian Weller
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104
208
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On Fairness, Diversity and Randomness in Algorithmic Decision Making
Nina Grgic-Hlaca
Muhammad Bilal Zafar
Krishna P. Gummadi
Adrian Weller
FaML
64
41
0
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Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
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168
585
0
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A Convex Framework for Fair Regression
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Hoda Heidari
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
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FaML
146
342
0
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Bayesian fairness
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David C. Parkes
Goran Radanović
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40
0
0
31 May 2017
Optimized Data Pre-Processing for Discrimination Prevention
Flavio du Pin Calmon
Dennis L. Wei
Karthikeyan N. Ramamurthy
Kush R. Varshney
77
60
0
11 Apr 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
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Hoda Heidari
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Michael Kearns
Aaron Roth
66
1,001
0
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Counterfactual Fairness
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Joshua R. Loftus
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Ricardo M. A. Silva
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238
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Towards the Science of Security and Privacy in Machine Learning
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Patrick McDaniel
Arunesh Sinha
Michael P. Wellman
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Fairness in Reinforcement Learning
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Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
79
203
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Fair Algorithms for Infinite and Contextual Bandits
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Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
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93
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0
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Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
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Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
217
1,218
0
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Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
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368
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0
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Equality of Opportunity in Supervised Learning
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Eric Price
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236
4,344
0
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The Crossover Process: Learnability and Data Protection from Inference Attacks
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Giorgio Patrini
Finnian Lattimore
Tibério S. Caetano
32
0
0
13 Jun 2016
Auditing Black-box Models for Indirect Influence
Philip Adler
Casey Falk
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Gabriel Rybeck
C. Scheidegger
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176
293
0
23 Feb 2016
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