most citedRethinking Evaluation in the Era of Time Series Foundation Models: (Un)known Information Leakage Challenges

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cs.CE2026

Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning

Kevin Zalipski, David Zapata Gonzalez, Oliver Müller

Information Systems research increasingly relies on machine learning (ML) to predict outcomes in complex sociotechnical systems, yet predictive models are not designed to identify…