Long Term Fairness

Long-term fairness in machine learning and decision-making systems focuses on mitigating the long-term, often unintended, consequences of seemingly fair algorithms. Current research emphasizes developing models and algorithms, such as those based on Markov Decision Processes and deep generative models, that explicitly consider the temporal evolution of fairness metrics and the interplay between decisions and evolving data distributions. This research is crucial for addressing ethical concerns and ensuring equitable outcomes in applications ranging from resource allocation and hiring to loan approvals and criminal justice, where algorithmic decisions have lasting societal impacts.

Papers

July 25, 2024

Long-term Fairness in Ride-Hailing Platform
Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie
Markov Decision Process Procedural Fairness Diverse Platform Long Term Fairness Optimisation Method

July 10, 2024

Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani
Positive Reinforcement Fair Decision Long Term Fairness Multi Agent Sequential Decision

June 10, 2024

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 L. Spirtes, Yang Liu, Lu Cheng
Machine Learning Timely Survey Technical Challenge Fairness Assessment Long Term Fairness Fairness Criterion Fairness Implication

April 16, 2024

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
Reinforcement Learning Sequential Decision Making Problem Fairness Notion Long Term Fairness Dynamic Fairness

January 20, 2024

Long-Term Fair Decision Making through Deep Generative Models
Yaowei Hu, Yongkai Wu, Lu Zhang
Causal Graph Fair Machine Learning Long Term Fairness

January 12, 2024

Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
Yaowei Hu, Jacob Lear, Lu Zhang
Reinforcement Learning Markov Decision Process Procedural Fairness Sequential Decision Fairness Notion Balancing Strategy Long Term Fairness

January 4, 2024

Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar, Yanning Shen
Fairness Constraint Online Optimization Long Term Fairness Safe Autonomous Decision

September 7, 2023

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
Long Term Bias Mitigation Sequential Decision Long Term Fairness Fairness Criterion

July 19, 2023

Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
Yulan Gao, Ziqiang Ye, Yue Xiao, Wei Xiang
Federated Learning Internet of Thing Network Joint Training Long Term Fairness

June 23, 2023

Trading-off price for data quality to achieve fair online allocation
Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet
Multi Armed Bandit Data Quality Financial Trading Long Term Fairness Fair Allocation Online Allocation

May 31, 2023

Towards Fair Disentangled Online Learning for Changing Environments
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
Online Learning Environment Feature Model Fairness Long Term Fairness Adaptive Regret Static Regret

April 19, 2023

Long-Term Fairness with Unknown Dynamics
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
Online Reinforcement Learning Unknown Dynamic Evolutionary Game Theory Long Term Fairness

April 10, 2023

Achieving Long-term Fairness in Submodular Maximization through Randomization
Shaojie Tang, Jing Yuan, Twumasi Mensah-Boateng
Submodular Maximization Monotone Submodular Function Randomization Program Long Term Fairness Group Fairness Constraint

January 21, 2023

Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang
Fairness Notion Underlying Causal Long Term Fairness Dynamic Fairness

October 22, 2022

Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yang Yu, Zhizhen Qin, Min Kyung Lee, Sicun Gao
Deep Reinforcement Learning Policy OpTimization Policy Optimization Decision Support System Long Term Fairness Advantage Learning Term Fairness

October 13, 2022

Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
Group Fairness Fairness Notion FAir Classifier Long Term Fairness

August 24, 2022

Enforcing Delayed-Impact Fairness Guarantees
Aline Weber, Blossom Metevier, Yuriy Brun, Philip S. Thomas, Bruno Castro da Silva
Fairness Constraint Fair Machine Learning Long Term Fairness Exact Enforcement Term Fairness Fairness Attribute

August 17, 2022

Modelling the long-term fairness dynamics of data-driven targeted help on job seekers
Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald
Job Market Fairness Objective Long Term Fairness Fairness Issue Interventional Data Intervention Policy Personalized Knowledge

August 11, 2022

Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si-Salem, G. Iosifidis, G. Neglia
Resource Allocation Fairness Objective Long Term Fairness Term Fairness

July 12, 2022

Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization
Liam Peet-Pare, Nidhi Hegde, Alona Fyshe
Machine Learning Distributionally Robust Optimization Performative Prediction Fairness Research Long Term Fairness Fairness Criterion Minority Group

Long Term Fairness

Papers

Long-term Fairness in Ride-Hailing Platform

Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning

Long-Term Fair Decision Making through Deep Generative Models

Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning

Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate

Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks

Trading-off price for data quality to achieve fair online allocation

Towards Fair Disentangled Online Learning for Changing Environments

Long-Term Fairness with Unknown Dynamics

Achieving Long-term Fairness in Submodular Maximization through Randomization

Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors

Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems

Equal Improvability: A New Fairness Notion Considering the Long-term Impact

Enforcing Delayed-Impact Fairness Guarantees

Modelling the long-term fairness dynamics of data-driven targeted help on job seekers

Enabling Long-term Fairness in Dynamic Resource Allocation

Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization