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Group Retention when Using Machine Learning in Sequential Decision
  Making: the Interplay between User Dynamics and Fairness
v1v2 (latest)

Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness

Neural Information Processing Systems (NeurIPS), 2019
2 May 2019
Xueru Zhang
Mohammadmahdi Khaliligarekani
Cem Tekin
M. Liu
    FaML
ArXiv (abs)PDFHTML

Papers citing "Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness"

38 / 38 papers shown
Achieving Fairness Without Harm via Selective Demographic Experts
Achieving Fairness Without Harm via Selective Demographic Experts
Xuwei Tan
Yuanlong Wang
Thai-Hoang Pham
Ping Zhang
Xueru Zhang
145
2
0
09 Nov 2025
Demographic-Agnostic Fairness without Harm
Demographic-Agnostic Fairness without Harm
Zhongteng Cai
Mohammad Mahdi Khalili
Xueru Zhang
215
1
0
28 Sep 2025
SPRINT: Stochastic Performative Prediction With Variance Reduction
SPRINT: Stochastic Performative Prediction With Variance Reduction
Tian Xie
Ding Zhu
Jia Liu
Mahdi Khalili
X. Zhang
231
1
0
22 Sep 2025
The Statistical Fairness-Accuracy Frontier
The Statistical Fairness-Accuracy Frontier
Alireza Fallah
Michael I. Jordan
Annie Ulichney
153
2
0
25 Aug 2025
Lookahead Counterfactual Fairness
Lookahead Counterfactual Fairness
Zhiqun Zuo
Tian Xie
Xuwei Tan
Xueru Zhang
Mohammad Mahdi Khalili
FaML
500
3
0
02 Dec 2024
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Fair Resource Allocation in Weakly Coupled Markov Decision ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xiaohui Tu
Yossiri Adulyasak
Nima Akbarzadeh
Erick Delage
375
1
0
14 Nov 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
338
1
0
04 Oct 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
254
2
0
10 Jul 2024
Addressing Polarization and Unfairness in Performative Prediction
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin
Tian Xie
Yang Liu
Xueru Zhang
304
12
0
24 Jun 2024
Learning from Streaming Data when Users Choose
Learning from Streaming Data when Users Choose
Jinyan Su
Sarah Dean
FedML
274
1
0
03 Jun 2024
Algorithmic Decision-Making under Agents with Persistent Improvement
Algorithmic Decision-Making under Agents with Persistent ImprovementAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Tian Xie
Xuwei Tan
Xueru Zhang
347
7
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
386
7
0
03 May 2024
Strategic Usage in a Multi-Learner Setting
Strategic Usage in a Multi-Learner Setting
Eliot Shekhtman
Sarah Dean
352
3
0
29 Jan 2024
Initializing Services in Interactive ML Systems for Diverse Users
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
431
6
0
19 Dec 2023
Asymptotically Fair Participation in Machine Learning Models: an Optimal
  Control Perspective
Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective
Zhuotong Chen
Qianxiao Li
Zheng Zhang
FaML
173
1
0
16 Nov 2023
Loss Balancing for Fair Supervised Learning
Loss Balancing for Fair Supervised LearningInternational Conference on Machine Learning (ICML), 2023
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FedMLFaML
197
14
0
07 Nov 2023
Fair Multi-Agent Bandits
Fair Multi-Agent Bandits
Amir Leshem
FedMLFaML
301
1
0
07 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 SystemsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
299
35
0
10 May 2023
Runtime Monitoring of Dynamic Fairness Properties
Runtime Monitoring of Dynamic Fairness PropertiesConference on Fairness, Accountability and Transparency (FAccT), 2023
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
237
22
0
08 May 2023
Systemic Fairness
Systemic Fairness
Arindam Ray
B. Padmanabhan
Lina Bouayad
FaML
193
0
0
14 Apr 2023
Fairness and Accuracy under Domain Generalization
Fairness and Accuracy under Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
302
36
0
30 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Tier Balancing: Towards Dynamic Fairness over Underlying Causal FactorsInternational Conference on Learning Representations (ICLR), 2023
Zeyu Tang
Yatong Chen
Yang Liu
Kun Zhang
342
9
0
21 Jan 2023
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Subgroup Robustness Grows On Trees: An Empirical Baseline InvestigationNeural Information Processing Systems (NeurIPS), 2022
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
429
26
0
23 Nov 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 PerspectiveACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
512
39
0
08 Jun 2022
Emergent specialization from participation dynamics and multi-learner
  retraining
Emergent specialization from participation dynamics and multi-learner retrainingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Sarah Dean
Mihaela Curmei
Lillian J. Ratliff
Jamie Morgenstern
Maryam Fazel
436
6
0
06 Jun 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 CriteriaAAAI Conference on Artificial Intelligence (AAAI), 2022
Yiqiao Liao
Parinaz Naghizadeh Ardabili
492
15
0
31 May 2022
Towards Return Parity in Markov Decision Processes
Towards Return Parity in Markov Decision ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jianfeng Chi
Jian Shen
Xinyi Dai
Weinan Zhang
Yuan Tian
Han Zhao
224
15
0
19 Nov 2021
Identifying Best Fair Intervention
Identifying Best Fair Intervention
Ruijiang Gao
Han Feng
FaML
160
0
0
08 Nov 2021
Unintended Selection: Persistent Qualification Rate Disparities and
  Interventions
Unintended Selection: Persistent Qualification Rate Disparities and InterventionsNeural Information Processing Systems (NeurIPS), 2021
Reilly P. Raab
Yang Liu
347
27
0
01 Nov 2021
Fair Sequential Selection Using Supervised Learning Models
Fair Sequential Selection Using Supervised Learning Models
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
FaML
300
25
0
26 Oct 2021
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded ExplorationNeural Information Processing Systems (NeurIPS), 2021
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
284
9
0
25 Oct 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Yi Yang
Ying Nian Wu
Mei Li
Xiangyu Chang
Yong Tan
FaML
333
0
0
21 Sep 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on
  Individual Instability
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual InstabilityAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Neal Patwari
Suresh Venkatasubramanian
374
10
0
24 Apr 2021
Improving Fairness and Privacy in Selection Problems
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
Somayeh Sojoudi
387
32
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
211
83
0
21 Oct 2020
Privacy-preserving Voice Analysis via Disentangled Representations
Privacy-preserving Voice Analysis via Disentangled Representations
Ranya Aloufi
Hamed Haddadi
David E. Boyle
DRL
368
65
0
29 Jul 2020
Bandit Learning with Delayed Impact of Actions
Bandit Learning with Delayed Impact of ActionsNeural Information Processing Systems (NeurIPS), 2020
Wei Tang
Chien-Ju Ho
Yang Liu
332
14
0
24 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
375
59
0
14 Jan 2020
1
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