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stat.ML2025
Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective
Charlotte Leininger, Simon Rittel, Ludwig Bothmann
Training machine learning models for fair decisions faces two key challenges: The \emph{fairness-accuracy trade-off} results from enforcing fairness which weakens its predictive pe…
stat.ML2024
A Guide to Feature Importance Methods for Scientific Inference
Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright +3
While machine learning (ML) models are increasingly used due to their high predictive power, their use in understanding the data-generating process (DGP) is limited. Understanding…