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FairML documentation

Welcome to the FairML's documentation.

FairML (Theory of Fair Machine Learning) is a project funded by the European Union, to support Yijun's Marie Skłodowska-Curie Postdoctoral Fellowship from Aug 2024 to Jul 2026. The project information can be found here and on the CORDIS website.

We release our code in the FairML repository, and this documentation is to help you reproduce our work from

  • Improving fairness with ensemble combination: Margin-dependent bounds [OpenReview]

To get started quickly, see an example here.

Acknowledgement

This research is funded by the European Union (MSCA, FairML, project no. 101106768). Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.