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"

50 / 747 papers shown
Title
The Possibility of Fairness: Revisiting the Impossibility Theorem in
  Practice
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
Andrew Bell
Lucius E.J. Bynum
Nazarii Drushchak
Tetiana Herasymova
Lucas Rosenblatt
Julia Stoyanovich
63
21
0
13 Feb 2023
On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
Falaah Arif Khan
Denys Herasymuk
Julia Stoyanovich
43
3
0
09 Feb 2023
On the Richness of Calibration
On the Richness of Calibration
Benedikt Höltgen
Robert C. Williamson
67
10
0
08 Feb 2023
Fairness in Matching under Uncertainty
Fairness in Matching under Uncertainty
Siddartha Devic
David Kempe
Vatsal Sharan
Aleksandra Korolova
FaML
78
6
0
08 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness
From Utilitarian to Rawlsian Designs for Algorithmic Fairness
Daniel E. Rigobon
FaML
45
1
0
07 Feb 2023
Improving Fair Training under Correlation Shifts
Improving Fair Training under Correlation Shifts
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
102
18
0
05 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of
  "Artificial Intelligence as a Service"
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
88
22
0
02 Feb 2023
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic
  Parity
Retiring ΔΔΔDP: New Distribution-Level Metrics for Demographic Parity
Xiaotian Han
Zhimeng Jiang
Hongye Jin
Zirui Liu
Na Zou
Qifan Wang
Helen Zhou
106
4
0
31 Jan 2023
Superhuman Fairness
Superhuman Fairness
Omid Memarrast
Linh Vu
Brian Ziebart
FaML
51
2
0
31 Jan 2023
Preserving Fairness in AI under Domain Shift
Preserving Fairness in AI under Domain Shift
Serban Stan
Mohammad Rostami
70
2
0
29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness
  Interventions
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Hao Wang
Luxi He
Rui Gao
Flavio du Pin Calmon
37
10
0
27 Jan 2023
Arbitrariness and Social Prediction: The Confounding Role of Variance in
  Fair Classification
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
A. Feder Cooper
Katherine Lee
Madiha Zahrah Choksi
Solon Barocas
Chris De Sa
James Grimmelmann
Jon M. Kleinberg
Siddhartha Sen
Baobao Zhang
FaML
83
30
0
27 Jan 2023
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based
  Disparities
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities
Melissa Hall
Laura Gustafson
Aaron B. Adcock
Ishan Misra
Candace Ross
VLM
101
24
0
26 Jan 2023
Increasing Fairness via Combination with Learning Guarantees
Increasing Fairness via Combination with Learning Guarantees
Yijun Bian
Kun Zhang
FaML
137
3
0
25 Jan 2023
From Pseudorandomness to Multi-Group Fairness and Back
From Pseudorandomness to Multi-Group Fairness and Back
Cynthia Dwork
Daniel Lee
Huijia Lin
Pranay Tankala
FaML
98
11
0
21 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with
  the Use of Visualizations
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
96
162
0
22 Dec 2022
Consistent Range Approximation for Fair Predictive Modeling
Consistent Range Approximation for Fair Predictive Modeling
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
77
11
0
21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data
PreFair: Privately Generating Justifiably Fair Synthetic Data
David Pujol
Amir Gilad
Ashwin Machanavajjhala
79
7
0
20 Dec 2022
Tensions Between the Proxies of Human Values in AI
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
73
3
0
14 Dec 2022
Ensuring Visual Commonsense Morality for Text-to-Image Generation
Ensuring Visual Commonsense Morality for Text-to-Image Generation
Seong-Oak Park
Suhong Moon
Jinkyu Kim
73
2
0
07 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and
  Incompatibility Results
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
Nathanael Jo
Bill Tang
Kathryn Dullerud
S. Aghaei
Eric Rice
P. Vayanos
65
8
0
04 Dec 2022
A Unifying Theory of Distance from Calibration
A Unifying Theory of Distance from Calibration
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
98
41
0
30 Nov 2022
The European AI Liability Directives -- Critique of a Half-Hearted
  Approach and Lessons for the Future
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future
P. Hacker
AILaw
85
68
0
25 Nov 2022
Practical Approaches for Fair Learning with Multitype and Multivariate
  Sensitive Attributes
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
Tennison Liu
Alex J. Chan
B. V. Breugel
M. Schaar
FaML
57
2
0
11 Nov 2022
Zero-shot Visual Commonsense Immorality Prediction
Zero-shot Visual Commonsense Immorality Prediction
Yujin Jeong
Seongbeom Park
Suhong Moon
Jinkyu Kim
VLM
39
2
0
10 Nov 2022
Fair and Optimal Classification via Post-Processing
Fair and Optimal Classification via Post-Processing
Ruicheng Xian
Lang Yin
Han Zhao
FaML
130
32
0
03 Nov 2022
Beyond calibration: estimating the grouping loss of modern neural
  networks
Beyond calibration: estimating the grouping loss of modern neural networks
Alexandre Perez-Lebel
Marine Le Morvan
Gaël Varoquaux
UQCV
72
27
0
28 Oct 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
67
15
0
27 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional
  Personal Data
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
82
1
0
25 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by
  Identifying Bias in Data
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data
B. Chaudhari
Akash Agarwal
Tanmoy Bhowmik
69
2
0
24 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
127
129
0
20 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral
  Assessment to Implementation
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
Joachim Baumann
Christoph Heitz
60
8
0
19 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in
  Explainable Recommendation
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang
Qifan Wang
Yi-Chia Wang
Maziar Sanjabi
Jingzhou Liu
Hamed Firooz
Hongning Wang
Shaoliang Nie
107
6
0
14 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
210
13
0
13 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
Agapi Rissaki
Bruno Scarone
David Liu
Aditeya Pandey
Brennan Klein
Tina Eliassi-Rad
M. Borkin
FaML
78
6
0
12 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic
  Fairness Research with U.S. Fair Lending Regulation
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
Indra Elizabeth Kumar
Keegan E. Hines
John P. Dickerson
FaML
84
23
0
05 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging
MEDFAIR: Benchmarking Fairness for Medical Imaging
Yongshuo Zong
Yongxin Yang
Timothy M. Hospedales
OOD
177
66
0
04 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
Maan Qraitem
Kate Saenko
Bryan A. Plummer
163
35
0
30 Sep 2022
Towards Equalised Odds as Fairness Metric in Academic Performance
  Prediction
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction
Jannik Dunkelau
Manh Khoi Duong
FaML
56
4
0
29 Sep 2022
Fair admission risk prediction with proportional multicalibration
Fair admission risk prediction with proportional multicalibration
William La Cava
Elle Lett
Guangya Wan
87
8
0
29 Sep 2022
Causal Proxy Models for Concept-Based Model Explanations
Causal Proxy Models for Concept-Based Model Explanations
Zhengxuan Wu
Karel DÓosterlinck
Atticus Geiger
Amir Zur
Christopher Potts
MILM
132
37
0
28 Sep 2022
Experiential Benefits of Interactive Conflict Negotiation Practices in
  Computer-Supported Shift Planning
Experiential Benefits of Interactive Conflict Negotiation Practices in Computer-Supported Shift Planning
Alarith Uhde
Matthias Laschke
Marc Hassenzahl
27
1
0
26 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making
SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan
Jianxin Bi
Harold Soh
FaML
118
3
0
22 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
112
48
0
21 Sep 2022
Survey on Fairness Notions and Related Tensions
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
103
26
0
16 Sep 2022
Algorithmic decision making methods for fair credit scoring
Algorithmic decision making methods for fair credit scoring
Darie Moldovan
FaML
79
7
0
16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis
Adaptive Fairness Improvement Based on Causality Analysis
Mengdi Zhang
Jun Sun
57
36
0
15 Sep 2022
It's Not Fairness, and It's Not Fair: The Failure of Distributional
  Equality and the Promise of Relational Equality in Complete-Information
  Hiring Games
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games
Benjamin Fish
Luke Stark
FaML
77
8
0
12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
108
5
0
12 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers
  in machine learning
Shapley value-based approaches to explain the robustness of classifiers in machine learning
G. D. Pelegrina
S. Siraj
FAtt
28
3
0
09 Sep 2022
Previous
123456...131415
Next