Author

Christopher Stith

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#machine learning Preprint Sep 2026

Causal Foundation Models

Causal foundation models are pretrained neural networks that estimate causal quantities, such as the average treatment effect, on entirely new datasets using in-context learning without requiring model updates.

Christopher Stith, Hossein Rahmani, Jesse C. Cresswell · 0 citations