An Empirical Study of Modular Bias Mitigators and Ensembles

Focus: Bias
Source: MAIEI
Readability: Expert
Type: Website Article
Open Source: Yes
Keywords: N/A
Learn Tags: AI and Machine Learning Bias Ethics Fairness Research Centre
Summary: This paper analyzes whether bias mitigation can be made more stable with ensemble learning and explores the space of mitigators and ensembles across several learning objectives.