Distributionally Robust Survival Models under Subpopulation Shift and Outlier Contamination.

arXiv:2610.02868v1 Announce Type: cross Abstract: Learning robust survival models under distribution shift is an important but challenging problem in many applications. In heterogeneous populations, a model that performs well on average may still perform poorl