Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding

Zhengling Qi, Rui Miao, Xiaoke Zhang

Data-driven individualized decision making has recently received increasing research interests. Most existing methods rely on the assumption of no unmeasured confounding, which unf…