Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap

Lorenzo Testa, Qi Xu, Jing Lei +1

In modern scientific applications, large volumes of covariate data are readily available, while outcome labels are costly, sparse, and often subject to distribution shift. This asy…