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
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
Serdar Kadioğlu
Filip Michalsky
44
2
0
12 Feb 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
Gabriel Simmons
Vladislav Savinov
49
1
0
12 Feb 2024
Regression Trees for Fast and Adaptive Prediction Intervals
Luben M. C. Cabezas
Mateus P. Otto
Rafael Izbicki
R. Stern
105
4
0
12 Feb 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Agathe Fernandes Machado
Franccois Hu
Philipp Ratz
Ewen Gallic
Arthur Charpentier
97
1
0
29 Jan 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
Joao Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
118
2
0
29 Jan 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions
Parikshit Gopalan
Princewill Okoroafor
Prasad Raghavendra
Abhishek Shetty
Mihir Singhal
100
8
0
26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang
Mingchen Li
Jiasi Chen
Christos Thrampoulidis
Samet Oymak
97
3
0
25 Jan 2024
Reranking individuals: The effect of fair classification within-groups
S. Goethals
T. Calders
FaML
84
1
0
24 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
Shih-Chi Ma
Tatiana Ermakova
Benjamin Fabian
FaML
70
0
0
04 Jan 2024
FairCompass: Operationalising Fairness in Machine Learning
Jessica Liu
Huaming Chen
Jun Shen
Kim-Kwang Raymond Choo
FaML
67
6
0
27 Dec 2023
Beyond Fairness: Alternative Moral Dimensions for Assessing Algorithms and Designing Systems
Kimi Wenzel
Geoff F. Kaufman
Laura A. Dabbish
FaML
65
0
0
19 Dec 2023
Fair Active Learning in Low-Data Regimes
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin Jamieson
FaML
59
1
0
13 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild
Yuzhe Yang
Haoran Zhang
Judy W. Gichoya
Dina Katabi
Marzyeh Ghassemi
77
6
0
11 Dec 2023
Detecting algorithmic bias in medical-AI models using trees
Jeffrey Smith
Andre L. Holder
Rishikesan Kamaleswaran
Yao Xie
125
1
0
05 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder
Dennis Frauen
Stefan Feuerriegel
CML
73
6
0
30 Nov 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata
Mark Díaz
Sunipa Dev
Emily Reif
Remi Denton
Vinodkumar Prabhakaran
103
4
0
28 Nov 2023
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms
Alessandro Castelnovo
Nicole Inverardi
Gabriele Nanino
Ilaria Giuseppina Penco
D. Regoli
FaML
77
3
0
21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing
Mulah Moriah
Franck Vermet
Arthur Charpentier
77
1
0
20 Nov 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
57
2
0
13 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding
Thilo Hagendorff
57
7
0
12 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Zeyu Tang
Jialu Wang
Yang Liu
Peter Spirtes
Kun Zhang
52
2
0
05 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
Charles Marx
Sofian Zalouk
Stefano Ermon
99
10
0
31 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Jacy Reese Anthis
Victor Veitch
82
16
0
30 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Elliott Ash
Naman Goel
Nianyun Li
Claudia Marangon
Peiyao Sun
162
2
0
28 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness
Zachary McBride Lazri
Ivan Brugere
Xin Tian
Dana Dachman-Soled
Antigoni Polychroniadou
Danial Dervovic
Min Wu
70
1
0
23 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
99
5
0
17 Oct 2023
Towards Fair and Calibrated Models
Anand Brahmbhatt
Vipul Rathore
Mausam
Parag Singla
FaML
52
2
0
16 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
Navita Goyal
Connor Baumler
Tin Trung Nguyen
Hal Daumé
89
8
0
12 Oct 2023
Fair Classifiers that Abstain without Harm
Tongxin Yin
Jean-François Ton
Ruocheng Guo
Yuanshun Yao
Mingyan Liu
Yang Liu
62
5
0
09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
Teresa Scantamburlo
Joachim Baumann
Christoph Heitz
FaML
67
6
0
09 Oct 2023
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks
Jiazhi Li
Mahyar Khayatkhoei
Jiageng Zhu
Hanchen Xie
Mohamed E. Hussein
Wael AbdAlmageed
90
3
0
08 Oct 2023
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
Zhenghai Xue
Qingpeng Cai
Tianyou Zuo
Bin Yang
Lantao Hu
Peng Jiang
Kun Gai
53
3
0
06 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination
John Y. Zhu
68
0
0
06 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms
James Brookhouse
Alex Freitas
FaML
48
2
0
04 Oct 2023
Bias and Fairness in Chatbots: An Overview
Jintang Xue
Yun Cheng Wang
Chengwei Wei
Xiaofeng Liu
Jonghye Woo
C.-C. Jay Kuo
115
35
0
16 Sep 2023
Re-formalization of Individual Fairness
Toshihiro Kamishima
FaML
27
0
0
11 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments
James Enouen
Tianshu Sun
Yan Liu
FaML
60
0
0
04 Sep 2023
Fairness in Ranking under Disparate Uncertainty
Richa Rastogi
Thorsten Joachims
96
3
0
04 Sep 2023
(Un)fair Exposure in Deep Face Rankings at a Distance
Andrea Atzori
Gianni Fenu
Mirko Marras
CVBM
82
1
0
22 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu
Weizhen Zeng
Ye Wang
80
3
0
05 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
S. Kim
Stefan Lessmann
G. Andreeva
Michael Rovatsos
FaML
71
5
0
01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba
Carmen Mazijn
Carina E. A. Prunkl
J. Danckaert
Vincent Ginis
SyDa
97
1
0
28 Jul 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Sen Cui
Weishen Pan
Changshui Zhang
Fei Wang
57
12
0
27 Jul 2023
Explainable Disparity Compensation for Efficient Fair Ranking
A. Gale
A. Marian
26
0
0
25 Jul 2023
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
Avrim Blum
Princewill Okoroafor
Aadirupa Saha
Kevin Stangl
74
2
0
21 Jul 2023
Navigating Fairness Measures and Trade-Offs
Stefan Buijsman
43
9
0
17 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
N. Shahbazi
Nikola Danevski
F. Nargesian
Abolfazl Asudeh
D. Srivastava
49
10
0
06 Jul 2023
Algorithms, Incentives, and Democracy
E. M. Penn
John W. Patty
FaML
67
1
0
05 Jul 2023
FFPDG: Fast, Fair and Private Data Generation
Weijie Xu
Jinjin Zhao
Francis Iannacci
Bo Wang
83
12
0
30 Jun 2023
Insights From Insurance for Fair Machine Learning
Christiane Fröhlich
Robert C. Williamson
FaML
70
8
0
26 Jun 2023
Previous
1
2
3
4
5
6
...
13
14
15
Next