Author

Swapn Shah

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Preprint Aug 2026

NOMADD: Numerical Optimization of Models Adapting to Data Drift

This paper offers an alternative post-hoc method to reduce concept drift, which is applicable to a variety of models, from trees to neural networks to tabular foundation models, and explores the promise and challenges of extending this tool to other modalities.

Swapn Shah, K. Burghardt · 0 citations