Towards Understanding Extrapolation: a Causal Lens The paper addresses extrapolation, where models predict outcomes for target samples outside the training distribution. It introduces a latent-variable model to formalize when extrapolation is feasible and offers methods to
Understanding Extrapolation: Causal Models for Out-of-Distribution Prediction
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