Saved in:
| Main Authors: | Thu, Huyen Giang Thi, Doan, Thang Viet, Ban, Ha-Bang, Quy, Tai Le |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.20298 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval
by: Thanh, Trung Nguyen, et al.
Published: (2025)
by: Thanh, Trung Nguyen, et al.
Published: (2025)
FairFinGAN: Fairness-aware Synthetic Financial Data Generation
by: Quy, Tai Le, et al.
Published: (2026)
by: Quy, Tai Le, et al.
Published: (2026)
Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2026)
by: Le, Bang Giang, et al.
Published: (2026)
Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning
by: Doan, Duc Kien, et al.
Published: (2025)
by: Doan, Duc Kien, et al.
Published: (2025)
Best Practices for Responsible Machine Learning in Credit Scoring
by: Valdrighi, Giovani, et al.
Published: (2024)
by: Valdrighi, Giovani, et al.
Published: (2024)
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
by: Casas, Pablo, et al.
Published: (2024)
by: Casas, Pablo, et al.
Published: (2024)
Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2024)
by: Le, Bang Giang, et al.
Published: (2024)
Identities are not Interchangeable: The Problem of Overgeneralization in Fair Machine Learning
by: Wang, Angelina
Published: (2025)
by: Wang, Angelina
Published: (2025)
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
by: Amin, Mostafa M., et al.
Published: (2022)
by: Amin, Mostafa M., et al.
Published: (2022)
Fairness in Large Language Models in Three Hours
by: Viet, Thang Doan, et al.
Published: (2024)
by: Viet, Thang Doan, et al.
Published: (2024)
Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State Attention
by: Ta, Xuan Duy, et al.
Published: (2025)
by: Ta, Xuan Duy, et al.
Published: (2025)
What is Fair? Defining Fairness in Machine Learning for Health
by: Gao, Jianhui, et al.
Published: (2024)
by: Gao, Jianhui, et al.
Published: (2024)
FairGT: A Fairness-aware Graph Transformer
by: Luo, Renqiang, et al.
Published: (2024)
by: Luo, Renqiang, et al.
Published: (2024)
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
by: Chen, Weiye, et al.
Published: (2024)
by: Chen, Weiye, et al.
Published: (2024)
Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning
by: Wang, Ziming, et al.
Published: (2025)
by: Wang, Ziming, et al.
Published: (2025)
AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations
by: Huang, Yinghui, et al.
Published: (2024)
by: Huang, Yinghui, et al.
Published: (2024)
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
by: Fawkes, Jake, et al.
Published: (2024)
by: Fawkes, Jake, et al.
Published: (2024)
Insights From Insurance for Fair Machine Learning
by: Fröhlich, Christian, et al.
Published: (2023)
by: Fröhlich, Christian, et al.
Published: (2023)
Evaluating Fair Feature Selection in Machine Learning for Healthcare
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)
Fairness-aware Federated Minimax Optimization with Convergence Guarantee
by: Dunda, Gerry Windiarto Mohamad, et al.
Published: (2023)
by: Dunda, Gerry Windiarto Mohamad, et al.
Published: (2023)
Data vs. Model Machine Learning Fairness Testing: An Empirical Study
by: Shome, Arumoy, et al.
Published: (2024)
by: Shome, Arumoy, et al.
Published: (2024)
Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study
by: Valentine, Alissa A., et al.
Published: (2024)
by: Valentine, Alissa A., et al.
Published: (2024)
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification
by: Song, Xiaobin, et al.
Published: (2024)
by: Song, Xiaobin, et al.
Published: (2024)
The Fairness of Credit Scoring Models
by: Hurlin, Christophe, et al.
Published: (2022)
by: Hurlin, Christophe, et al.
Published: (2022)
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets
by: Kim, Woojin, et al.
Published: (2025)
by: Kim, Woojin, et al.
Published: (2025)
The Effect of Enforcing Fairness on Reshaping Explanations in Machine Learning Models
by: Anderson, Joshua Wolff, et al.
Published: (2025)
by: Anderson, Joshua Wolff, et al.
Published: (2025)
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023)
by: Asiedu, Mercy Nyamewaa, et al.
Published: (2023)
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
by: Xu, Paiheng, et al.
Published: (2023)
by: Xu, Paiheng, et al.
Published: (2023)
FACROC: a fairness measure for FAir Clustering through ROC curves
by: Quy, Tai Le, et al.
Published: (2025)
by: Quy, Tai Le, et al.
Published: (2025)
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
Tuning Derivatives for Causal Fairness in Machine Learning
by: Edström, Filip, et al.
Published: (2026)
by: Edström, Filip, et al.
Published: (2026)
Fair Machine Learning in Healthcare: A Review
by: Feng, Qizhang, et al.
Published: (2022)
by: Feng, Qizhang, et al.
Published: (2022)
On The Fairness Impacts of Hardware Selection in Machine Learning
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
by: Nelaturu, Sree Harsha, et al.
Published: (2023)
Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)
by: Hou, Bojian, et al.
Published: (2025)
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
by: Bothmann, Ludwig, et al.
Published: (2023)
by: Bothmann, Ludwig, et al.
Published: (2023)
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
by: Yang, Shangshang, et al.
Published: (2025)
by: Yang, Shangshang, et al.
Published: (2025)
Combinations of Fast Activation and Trigonometric Functions in Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang, et al.
Published: (2025)
by: Ta, Hoang-Thang, et al.
Published: (2025)
FairDP: Certified Fairness with Differential Privacy
by: Tran, Khang, et al.
Published: (2023)
by: Tran, Khang, et al.
Published: (2023)
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
by: Li, Siqi, et al.
Published: (2024)
by: Li, Siqi, et al.
Published: (2024)
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
by: Peng, Kewen, et al.
Published: (2025)
by: Peng, Kewen, et al.
Published: (2025)
Similar Items
-
Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval
by: Thanh, Trung Nguyen, et al.
Published: (2025) -
FairFinGAN: Fairness-aware Synthetic Financial Data Generation
by: Quy, Tai Le, et al.
Published: (2026) -
Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2026) -
Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning
by: Doan, Duc Kien, et al.
Published: (2025) -
Best Practices for Responsible Machine Learning in Credit Scoring
by: Valdrighi, Giovani, et al.
Published: (2024)