Active Adaptive Experimental Design for Efficient Treatment Effect Estimation with Covariate Choices

The author proposes an active adaptive experiment to optimize covariate density and propensity score for efficient ATE estimation, aligning the asymptotic variance with the minimized efficiency bound.