Bias and Fairness Mitigation Post-Processing with Reinforcement Learning

Source code for the paper article "Mitigating bias and unfairness in machine learning models with reinforcement learning"

Mendeley Data2024-01-31 更新80

Fair and Optimal Classification via Post-Processing

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

DataCite Commons2026-01-07 更新50

Mitigating Algorithmic Bias and Ensuring Fairness in Machine Learning

This research investigates algorithmic bias in machine learning models and proposes a bias mitigation framework using re-weighting techniques. The study applies fairness evaluation metrics like the Di

NIAID Data Ecosystem00