Parameter-Efficient Distributionally Robust Adaptation of Tabular Foundation Models under Subpopulation Shift.

arXiv:2610.01143v1 Announce Type: cross Abstract: Despite strong mean accuracy, tabular foundation models (TFMs) can perform poorly on underrepresented groups under subpopulation shift, where group proportions change between training and deployment. We propose