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Fairness in Learning-Based Sequential Decision Algorithms: A Survey

Fairness in Learning-Based Sequential Decision Algorithms: A Survey

14 January 2020
Xueru Zhang
M. Liu
    FaML
ArXivPDFHTML

Papers citing "Fairness in Learning-Based Sequential Decision Algorithms: A Survey"

32 / 32 papers shown
Title
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Aditya Bhaskara
Suresh Venkatasubramanian
25
0
0
10 Apr 2025
Towards Environmentally Equitable AI
Towards Environmentally Equitable AI
Mohammad Hajiesmaili
Shaolei Ren
R. Sitaraman
Adam Wierman
65
0
0
21 Dec 2024
Understanding Decision Subjects' Engagement with and Perceived Fairness
  of AI Models When Opportunities of Qualification Improvement Exist
Understanding Decision Subjects' Engagement with and Perceived Fairness of AI Models When Opportunities of Qualification Improvement Exist
Meric Altug Gemalmaz
Ming Yin
24
0
0
04 Oct 2024
Fair Best Arm Identification with Fixed Confidence
Fair Best Arm Identification with Fixed Confidence
Alessio Russo
Filippo Vannella
17
0
0
30 Aug 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
60
3
0
10 Jun 2024
Fairness in Reinforcement Learning: A Survey
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
26
4
0
11 May 2024
Algorithmic Decision-Making under Agents with Persistent Improvement
Algorithmic Decision-Making under Agents with Persistent Improvement
Tian Xie
Xuwei Tan
Xueru Zhang
44
4
0
03 May 2024
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
Tian Xie
Zhiqun Zuo
Mohammad Mahdi Khalili
Xueru Zhang
OffRL
38
2
0
03 May 2024
Long-term Fairness For Real-time Decision Making: A Constrained Online
  Optimization Approach
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
Ruijie Du
Deepan Muthirayan
Pramod P. Khargonekar
Yanning Shen
FaML
12
1
0
04 Jan 2024
Procedural Fairness Through Decoupling Objectionable Data Generating
  Components
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Zeyu Tang
Jialu Wang
Yang Liu
Peter Spirtes
Kun Zhang
22
2
0
05 Nov 2023
Towards Environmentally Equitable AI via Geographical Load Balancing
Towards Environmentally Equitable AI via Geographical Load Balancing
Pengfei Li
Jianyi Yang
Adam Wierman
Shaolei Ren
30
8
0
20 Jun 2023
A Classification of Feedback Loops and Their Relation to Biases in
  Automated Decision-Making Systems
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
35
23
0
10 May 2023
Runtime Monitoring of Dynamic Fairness Properties
Runtime Monitoring of Dynamic Fairness Properties
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
32
14
0
08 May 2023
Fairness and Sequential Decision Making: Limits, Lessons, and
  Opportunities
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
30
6
0
13 Jan 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
31
159
0
14 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
25
26
0
08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi
A. Akhavan
Johannes Falk
Leonardo Cella
Massimiliano Pontil
FaML
21
8
0
07 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
102
41
0
26 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaML
OffRL
32
13
0
20 May 2022
Achieving Long-Term Fairness in Sequential Decision Making
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu
Lu Zhang
17
20
0
04 Apr 2022
Fair Sequential Selection Using Supervised Learning Models
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
25
18
0
26 Oct 2021
Fairness in Missing Data Imputation
Fairness in Missing Data Imputation
Yiliang Zhang
Q. Long
14
12
0
22 Oct 2021
Multi-armed Bandit Requiring Monotone Arm Sequences
Multi-armed Bandit Requiring Monotone Arm Sequences
Ningyuan Chen
22
11
0
07 Jun 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on
  Individual Instability
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Neal Patwari
Suresh Venkatasubramanian
7
7
0
24 Apr 2021
Long-Term Resource Allocation Fairness in Average Markov Decision
  Process (AMDP) Environment
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment
Ganesh Ghalme
V. Nair
Vishakha Patil
Yilun Zhou
11
5
0
14 Feb 2021
Fairness with Continuous Optimal Transport
Fairness with Continuous Optimal Transport
Silvia Chiappa
Aldo Pacchiano
OT
31
12
0
06 Jan 2021
Improving Fairness and Privacy in Selection Problems
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
Somayeh Sojoudi
16
27
0
07 Dec 2020
How Do Fair Decisions Fare in Long-term Qualification?
How Do Fair Decisions Fare in Long-term Qualification?
Xueru Zhang
Ruibo Tu
Yang Liu
M. Liu
Hedvig Kjellström
Kun Zhang
Cheng Zhang
17
74
0
21 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic
  Fairness
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
15
56
0
12 Oct 2020
AI safety: state of the field through quantitative lens
AI safety: state of the field through quantitative lens
Mislav Juric
A. Sandic
Mario Brčič
18
24
0
12 Feb 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
312
0
30 Oct 2017
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