53 citations · 177 across the 34 of their papers we have counts for
3 papers · 1 filter
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su, Wenlong Mou, Peng Ding +1
We study regression adjustment with general function class approximations for estimating the average treatment effect in the design-based setting. Standard regression adjustment in…
When is the estimated propensity score better? High-dimensional analysis and bias correction
Fangzhou Su, Wenlong Mou, Peng Ding +1
Anecdotally, using an estimated propensity score is superior to the true propensity score in estimating the average treatment effect based on observational data. However, this clai…
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency
Wenlong Mou, Peng Ding, Martin J. Wainwright +1
We study optimal procedures for estimating a linear functional based on observational data. In many problems of this kind, a widely used assumption is strict overlap, i.e., uniform…