prior-alignment

This paper studies whether tabular foundation models based on pretrained prior-data fitted networks (PFNs) can generalize to strategic tabular data where individuals modify features after deployment. It proposes Strategic Prior-data Fitted Network (SPN), an inference-time framework that aligns PFN predictions with the post-manipulation distribution without retraining.