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Fair Decision-making Under Uncertainty

Fair Decision-making Under Uncertainty

29 January 2023
Wenbin Zhang
Jeremy C. Weiss
ArXivPDFHTML

Papers citing "Fair Decision-making Under Uncertainty"

20 / 20 papers shown
Title
Digital Forensics in the Age of Large Language Models
Digital Forensics in the Age of Large Language Models
Zhipeng Yin
Zichong Wang
Weifeng Xu
Jun Zhuang
Pallab Mozumder
Antoinette Smith
Wenbin Zhang
AILaw
42
1
0
03 Apr 2025
Fairness Amidst Non-IID Graph Data: A Literature Review
Fairness Amidst Non-IID Graph Data: A Literature Review
Wenbin Zhang
Shimei Pan
Shuigeng Zhou
T. Walsh
FaML
OOD
56
12
0
28 Jan 2025
Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty
Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty
Elita Lobo
Justin Payan
Cyrus Cousins
Yair Zick
25
0
0
04 Nov 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI
  Applications
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
Sribala Vidyadhari Chinta
Zichong Wang
Zhipeng Yin
Nhat Hoang
Matthew Gonzalez
Tai Le Quy
Wenbin Zhang
34
20
0
26 Jul 2024
Fairness Definitions in Language Models Explained
Fairness Definitions in Language Models Explained
Thang Viet Doan
Zhibo Chu
Zichong Wang
Wenbin Zhang
ALM
50
10
0
26 Jul 2024
The Internet of Responsibilities-Connecting Human Responsibilities using
  Big Data and Blockchain
The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain
Xuejiao Tang
J. Qiu
Wenbin Zhang
I. Toure
Mingli Zhang
Enza Messina
Xueping Xie
Xuebing Wang
Sheng Yu
13
10
0
07 Dec 2023
Towards Fair Machine Learning Software: Understanding and Addressing
  Model Bias Through Counterfactual Thinking
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
Zichong Wang
Yangze Zhou
M. Qiu
I. Haque
Laura Brown
Yi He
Jianwu Wang
David Lo
Wenbin Zhang
FaML
10
23
0
16 Feb 2023
Preventing Discriminatory Decision-making in Evolving Data Streams
Preventing Discriminatory Decision-making in Evolving Data Streams
Zichong Wang
N. Saxena
Tongjia Yu
Sneha Karki
Tyler Zetty
...
Shanlin Zhou
Dukka B Kc
I. Stockwell
Albert Bifet
Wenbin Zhang
FaML
12
19
0
16 Feb 2023
Individual Fairness under Uncertainty
Individual Fairness under Uncertainty
Wenbin Zhang
Zichong Wang
Juyong Kim
Cheng Cheng
Thomas Oommen
Pradeep Ravikumar
Jeremy C. Weiss
FaML
16
12
0
16 Feb 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
24
145
0
14 Jul 2022
Attention Mechanism based Cognition-level Scene Understanding
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang
Tai Le Quy
LRM
23
0
0
17 Apr 2022
Longitudinal Fairness with Censorship
Longitudinal Fairness with Censorship
Wenbin Zhang
Jeremy C. Weiss
11
40
0
30 Mar 2022
Incremental Mining of Frequent Serial Episodes Considering Multiple
  Occurrences
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
Thomas Guyet
Wenbin Zhang
Albert Bifet
AI4TS
37
8
0
27 Jan 2022
A Generic Knowledge Based Medical Diagnosis Expert System
A Generic Knowledge Based Medical Diagnosis Expert System
Xin Huang
Xuejiao Tang
Wenbin Zhang
Shichao Pei
Ji Zhang
Mingli Zhang
Zhen Liu
Ruijun Chen
Yiyi Huang
32
9
0
09 Oct 2021
A survey on datasets for fairness-aware machine learning
A survey on datasets for fairness-aware machine learning
Tai Le Quy
Arjun Roy
Vasileios Iosifidis
Wenbin Zhang
Eirini Ntoutsi
FaML
11
237
0
01 Oct 2021
Interpretable Visual Understanding with Cognitive Attention Network
Interpretable Visual Understanding with Cognitive Attention Network
Xuejiao Tang
Wenbin Zhang
Yi Yu
Kea Turner
Tyler Derr
Mengyu Wang
Eirini Ntoutsi
42
12
0
06 Aug 2021
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
Xuejiao Tang
Xin Huang
Wenbin Zhang
T. Child
Qiong Hu
Zhen Liu
Ji Zhang
LRM
11
16
0
04 Jul 2021
Responsibility Management through Responsibility Networks
Responsibility Management through Responsibility Networks
Ruijun Chen
J. Qiu
Xuejiao Tang
39
4
0
14 Feb 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
225
485
0
31 Dec 2020
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
102
1,229
0
02 Jun 2016
1