Yi He

causal inference · treatment effect estimation · observational studies · doubly robust · heterogeneous treatment effects · CATE · causal representation learning · invariance · distribution shift · domain generalization · covariate shift · robustness · time-varying treatment · longitudinal causal inference · time-varying confounding · marginal structural models · g-formula · g-estimation · structural nested models · sequential causal inference · interference · spillover effects · network causal inference · exposure mapping · peer effects · partial interference · social networks · causal effects under interference · temporal networks · dynamic graphs · diffusion processes