Some Recent Progress in Proximal Causal Learning

时   间：  2023-04-19 14:00 — 15:00

In this talk, we consider the recently proposed framework of proximal causal inference. Nonparametric identification and semiparametric theory for the average treatment effect will be introduced. We will also discuss learning heterogeneous treatment effects, optimal individualized decision-making, and survival analysis under the proximal causal inference framework.