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How Do Fair Decisions Fare in Long-term Qualification?

How Do Fair Decisions Fare in Long-term Qualification?

21 October 2020
Xueru Zhang
Ruibo Tu
Yang Liu
M. Liu
Hedvig Kjellström
Anton van den Hengel
Cheng Zhang
ArXivPDFHTML

Papers citing "How Do Fair Decisions Fare in Long-term Qualification?"

17 / 17 papers shown
Title
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
Sura Alhanouti
Parinaz Naghizadeh
29
0
0
08 May 2025
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Xiaohui Tu
Yossiri Adulyasak
Nima Akbarzadeh
Erick Delage
44
0
0
14 Nov 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive
  Reinforcement
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
33
0
0
10 Jul 2024
Designing Long-term Group Fair Policies in Dynamical Systems
Designing Long-term Group Fair Policies in Dynamical Systems
Miriam Rateike
Isabel Valera
Patrick Forré
33
4
0
21 Nov 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation
  Strategies towards Equal Long-term Benefit Rate
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu
Chenghao Deng
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Jieyu Zhao
Furong Huang
32
4
0
07 Sep 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
Multi-dimensional discrimination in Law and Machine Learning -- A
  comparative overview
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview
Arjun Roy
J. Horstmann
Eirini Ntoutsi
FaML
15
20
0
12 Feb 2023
Reinforcement Learning with Stepwise Fairness Constraints
Reinforcement Learning with Stepwise Fairness Constraints
Zhun Deng
He Sun
Zhiwei Steven Wu
Linjun Zhang
David C. Parkes
FaML
OffRL
40
11
0
08 Nov 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness
  in Decision Systems
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yang Yu
Zhizhen Qin
Min Kyung Lee
Sicun Gao
OffRL
37
15
0
22 Oct 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement
  Errors on Fairness Criteria
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
Yiqiao Liao
Parinaz Naghizadeh Ardabili
10
8
0
31 May 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang
Linyi Li
Maurice Weber
Yang Liu
Ce Zhang
Bo-wen Li
OOD
54
15
0
31 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
35
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
20
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
33
19
0
26 Oct 2021
Statistical discrimination in learning agents
Statistical discrimination in learning agents
Edgar A. Duénez-Guzmán
Kevin R. McKee
Yiran Mao
Ben Coppin
Silvia Chiappa
...
Yoram Bachrach
Suzanne Sadedin
William S. Isaac
K. Tuyls
Joel Z Leibo
39
7
0
21 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
240
0
01 Oct 2021
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
313
0
30 Oct 2017
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