ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.05807
  4. Cited By
Inherent Trade-Offs in the Fair Determination of Risk Scores
v1v2 (latest)

Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
    FaML
ArXiv (abs)PDFHTML

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

47 / 747 papers shown
Title
Incomplete Contracting and AI Alignment
Incomplete Contracting and AI Alignment
Dylan Hadfield-Menell
Gillian Hadfield
63
83
0
12 Apr 2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Daniel Alabi
Nicole Immorlica
Adam Tauman Kalai
FedMLFaML
73
27
0
11 Apr 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
133
885
0
23 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust
  Deep Learning
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot
Patrick McDaniel
OODAAML
156
508
0
13 Mar 2018
Delayed Impact of Fair Machine Learning
Delayed Impact of Fair Machine Learning
Lydia T. Liu
Sarah Dean
Esther Rolf
Max Simchowitz
Moritz Hardt
FaML
112
478
0
12 Mar 2018
Probably Approximately Metric-Fair Learning
Probably Approximately Metric-Fair Learning
G. Rothblum
G. Yona
FaMLFedML
80
86
0
08 Mar 2018
Fairness Through Computationally-Bounded Awareness
Fairness Through Computationally-Bounded Awareness
Michael P. Kim
Omer Reingold
G. Rothblum
FaML
99
146
0
08 Mar 2018
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
236
1,108
0
06 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 Prediction
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
88
233
0
26 Feb 2018
Path-Specific Counterfactual Fairness
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CMLFaML
97
341
0
22 Feb 2018
Online Learning with an Unknown Fairness Metric
Online Learning with an Unknown Fairness Metric
Stephen Gillen
Christopher Jung
Michael Kearns
Aaron Roth
FaML
73
144
0
20 Feb 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
388
685
0
17 Feb 2018
Fair Clustering Through Fairlets
Fair Clustering Through Fairlets
Flavio Chierichetti
Ravi Kumar
Silvio Lattanzi
Sergei Vassilvitskii
FaML
85
439
0
15 Feb 2018
A comparative study of fairness-enhancing interventions in machine
  learning
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
FaML
123
648
0
13 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
209
1,400
0
22 Jan 2018
Interventions over Predictions: Reframing the Ethical Debate for
  Actuarial Risk Assessment
Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
Chelsea Barabas
Karthik Dinakar
Joichi Ito
M. Virza
Jonathan Zittrain
124
144
0
21 Dec 2017
Matching Code and Law: Achieving Algorithmic Fairness with Optimal
  Transport
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
Paradoxes in Fair Computer-Aided Decision Making
Andrew Morgan
R. Pass
FaML
59
9
0
29 Nov 2017
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
Predict Responsibly: Improving Fairness and Accuracy by Learning to
  Defer
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
David Madras
T. Pitassi
R. Zemel
FaML
210
221
0
17 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
  Fairness
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
211
785
0
14 Nov 2017
Calibration of Machine Learning Classifiers for Probability of Default
  Modelling
Calibration of Machine Learning Classifiers for Probability of Default Modelling
Pedro G. Fonseca
Hugo D. Lopes
35
10
0
24 Oct 2017
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model
  Distillation
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
S. Tan
R. Caruana
Giles Hooker
Yin Lou
MLAU
148
188
0
17 Oct 2017
Spectral Algorithms for Computing Fair Support Vector Machines
Spectral Algorithms for Computing Fair Support Vector Machines
Matt Olfat
A. Aswani
FaML
75
33
0
16 Oct 2017
Efficiently Discovering Locally Exceptional yet Globally Representative
  Subgroups
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups
Janis Kalofolias
Mario Boley
Jilles Vreeken
52
6
0
22 Sep 2017
On Fairness and Calibration
On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
FaML
232
885
0
06 Sep 2017
The impossibility of "fairness": a generalized impossibility result for
  decisions
The impossibility of "fairness": a generalized impossibility result for decisions
Thomas Miconi
66
27
0
05 Jul 2017
Data Decisions and Theoretical Implications when Adversarially Learning
  Fair Representations
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel
Jilin Chen
Zhe Zhao
Ed H. Chi
FaML
121
442
0
01 Jul 2017
Fairer and more accurate, but for whom?
Fairer and more accurate, but for whom?
Alexandra Chouldechova
M. G'Sell
89
63
0
30 Jun 2017
Penalizing Unfairness in Binary Classification
Penalizing Unfairness in Binary Classification
Yahav Bechavod
Katrina Ligett
FaML
95
69
0
30 Jun 2017
From Parity to Preference-based Notions of Fairness in Classification
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
Adrian Weller
FaML
104
208
0
30 Jun 2017
On Fairness, Diversity and Randomness in Algorithmic Decision Making
On Fairness, Diversity and Randomness in Algorithmic Decision Making
Nina Grgic-Hlaca
Muhammad Bilal Zafar
Krishna P. Gummadi
Adrian Weller
FaML
64
41
0
30 Jun 2017
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaMLCML
168
585
0
08 Jun 2017
A Convex Framework for Fair Regression
A Convex Framework for Fair Regression
R. Berk
Hoda Heidari
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FaML
146
342
0
07 Jun 2017
Bayesian fairness
Bayesian fairness
Christos Dimitrakakis
Yang Liu
David C. Parkes
Goran Radanović
FaML
40
0
0
31 May 2017
Optimized Data Pre-Processing for Discrimination Prevention
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
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
66
1,001
0
27 Mar 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
Towards the Science of Security and Privacy in Machine Learning
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot
Patrick McDaniel
Arunesh Sinha
Michael P. Wellman
AAML
99
474
0
11 Nov 2016
Fairness in Reinforcement Learning
Fairness in Reinforcement Learning
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
79
203
0
09 Nov 2016
Fair Algorithms for Infinite and Contextual Bandits
Fair Algorithms for Infinite and Contextual Bandits
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FedMLFaML
93
56
0
29 Oct 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning
  Classification without Disparate Mistreatment
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
217
1,218
0
26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
368
2,133
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
236
4,344
0
07 Oct 2016
The Crossover Process: Learnability and Data Protection from Inference
  Attacks
The Crossover Process: Learnability and Data Protection from Inference Attacks
Richard Nock
Giorgio Patrini
Finnian Lattimore
Tibério S. Caetano
32
0
0
13 Jun 2016
Auditing Black-box Models for Indirect Influence
Auditing Black-box Models for Indirect Influence
Philip Adler
Casey Falk
Sorelle A. Friedler
Gabriel Rybeck
C. Scheidegger
Brandon Smith
Suresh Venkatasubramanian
TDIMLAU
176
293
0
23 Feb 2016
Previous
123...131415