The idea of covariate balance is at the core of causal inference. Invers...
It has become increasingly common for data to be collected adaptively, f...
Error-in-variables regression is a common ingredient in treatment effect...
Adaptive experiments can result in considerable cost savings in multi-ar...
Weighting methods that adjust for observed covariates, such as inverse
p...
We present a new perspective on the Synthetic Control (SC) method as a
w...
We propose a method for average partial effect estimation in high-dimens...
There has been a recent surge of interest in doubly robust approaches to...