Maximum Risk Minimization with Random Forests

ArXi:2512.10445v2 Announce Type: replace-cross We consider a regression setting where observations are collected in different environments modeled by different data distributions. The field of out-of-distribution (OOD) generalization aims to design methods that generalize better to test environments whose distributions differ from those observed during