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1610.07524
Cited By
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
24 October 2016
Alexandra Chouldechova
FaML
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Papers citing
"Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"
50 / 866 papers shown
Title
On the Richness of Calibration
Benedikt Höltgen
Robert C. Williamson
95
10
0
08 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods
Dawen Zhang
Shidong Pan
Thong Hoang
Zhenchang Xing
Mark Staples
Xiwei Xu
Lina Yao
Qinghua Lu
Liming Zhu
MU
80
23
0
07 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy
Anderson Santana de Oliveira
Caelin Kaplan
Khawla Mallat
Tanmay Chakraborty
FedML
112
8
0
06 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Sina shaham
Gabriel Ghinita
Cyrus Shahabi
71
0
0
05 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu
Xiaotong Chen
Ying Han
Hongseok Namkoong
Kinjal Basu
84
1
0
03 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
117
27
0
02 Feb 2023
On the Within-Group Fairness of Screening Classifiers
Nastaran Okati
Stratis Tsirtsis
Manuel Gomez Rodriguez
146
2
0
31 Jan 2023
Superhuman Fairness
Omid Memarrast
Linh Vu
Brian Ziebart
FaML
68
2
0
31 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Hao Wang
Luxi He
Rui Gao
Flavio du Pin Calmon
75
16
0
27 Jan 2023
Increasing Fairness via Combination with Learning Guarantees
Yijun Bian
Kun Zhang
FaML
206
3
0
25 Jan 2023
Properties of Group Fairness Metrics for Rankings
Tobias Schumacher
Marlene Lutz
Sandipan Sikdar
M. Strohmaier
67
4
0
29 Dec 2022
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
Yao Yao
Qihang Lin
Tianbao Yang
FaML
144
9
0
23 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data
David Pujol
Amir Gilad
Ashwin Machanavajjhala
97
8
0
20 Dec 2022
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
Ashesh Rambachan
Amanda Coston
Edward H. Kennedy
127
4
0
19 Dec 2022
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
103
3
0
14 Dec 2022
Fairify: Fairness Verification of Neural Networks
Sumon Biswas
Hridesh Rajan
113
28
0
08 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning
Usman Gohar
Sumon Biswas
Hridesh Rajan
FaML
FedML
97
28
0
08 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
Soheil Feizi
222
16
0
05 Dec 2022
Certifying Fairness of Probabilistic Circuits
Nikil Selvam
Karen Ullrich
YooJung Choi
FaML
TPM
91
6
0
05 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
Nathanael Jo
Bill Tang
Kathryn Dullerud
S. Aghaei
Eric Rice
P. Vayanos
86
9
0
04 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
Linying Zhang
L. Richter
Yixin Wang
A. Ostropolets
Noémie Elhadad
David M. Blei
G. Hripcsak
CML
84
3
0
21 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
FaML
100
3
0
14 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Shea Cardozo
Gabriel Islas Montero
Dmitry Kazhdan
B. Dimanov
Maleakhi A. Wijaya
M. Jamnik
Pietro Lio
AAML
91
0
0
14 Nov 2022
Fair and Optimal Classification via Post-Processing
Ruicheng Xian
Lang Yin
Han Zhao
FaML
201
35
0
03 Nov 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
115
1
0
25 Oct 2022
Abstract Interpretation-Based Feature Importance for SVMs
Abhinanda Pal
Francesco Ranzato
Caterina Urban
Marco Zanella
FAtt
84
0
0
22 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles Ling
Tal Arbel
Boyu Wang
Christian Gagné
123
40
0
19 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
Joachim Baumann
Christoph Heitz
74
8
0
19 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
98
6
0
10 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Angelie Kraft
Ricardo Usbeck
KELM
102
9
0
07 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Zehua Wang
127
25
0
06 Oct 2022
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
123
24
0
05 Oct 2022
Conformalized Fairness via Quantile Regression
Meichen Liu
Lei Ding
Dengdeng Yu
Wulong Liu
Linglong Kong
Bei Jiang
263
11
0
05 Oct 2022
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction
Jannik Dunkelau
Manh Khoi Duong
FaML
75
4
0
29 Sep 2022
Fair admission risk prediction with proportional multicalibration
William La Cava
Elle Lett
Guangya Wan
140
8
0
29 Sep 2022
Learning When to Advise Human Decision Makers
Gali Noti
Yiling Chen
135
19
0
27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
211
55
0
23 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan
Jianxin Bi
Harold Soh
FaML
134
3
0
22 Sep 2022
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
134
49
0
21 Sep 2022
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
Zijie J. Wang
Chudi Zhong
Rui Xin
Takuya Takagi
Zhi Chen
Duen Horng Chau
Cynthia Rudin
Margo Seltzer
81
19
0
19 Sep 2022
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
123
27
0
16 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
Soheil Feizi
OOD
165
24
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
Benjamin Fish
Luke Stark
FaML
91
8
0
12 Sep 2022
Mathematical Framework for Online Social Media Auditing
Wasim Huleihel
Yehonathan Refael
MLAU
83
2
0
12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
167
5
0
12 Sep 2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Nina Grgic-Hlaca
C. Castelluccia
Krishna P. Gummadi
HAI
95
13
0
08 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
AAML
78
14
0
02 Sep 2022
Generalization In Multi-Objective Machine Learning
Peter Súkeník
Christoph H. Lampert
AI4CE
106
6
0
29 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu
Rahul Mazumder
Preetam Nandy
Kinjal Basu
76
3
0
24 Aug 2022
Enforcing Delayed-Impact Fairness Guarantees
Aline Weber
Blossom Metevier
Yuriy Brun
Philip S. Thomas
Bruno Castro da Silva
FaML
210
11
0
24 Aug 2022
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