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stat.ML2025
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte, David Rügamer, Thomas Nagler
There is growing interest in extending average treatment effect (ATE) estimation to incorporate non-tabular data, such as images and text, which may act as sources of confounding.…
stat.ML2022★ 3 cited
Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser, Christoph Kern, David Rügamer
Both industry and academia have made considerable progress in developing trustworthy and responsible machine learning (ML) systems. While critical concepts like fairness and explai…