Covariate balancing propensity score by tailored loss functions


This paper extends the dual interpretation of entropy balancing to general situations and proposes a tailored loss function. Minimizing this loss function by machine learning algorithms generates approximate covariate balance in large function classes.

Annals of Statistics (2019)
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