In this paper we address the problem of bias in machine learning of
para...
Bias correction can often improve the finite sample performance of
estim...
Many causal and policy effects of interest are defined by linear functio...
Debiased machine learning is a meta algorithm based on bias correction a...
We give debiased machine learners of parameters of interest that depend ...
Multidimensional heterogeneity and endogeneity are important features of...
Many objects of interest can be expressed as a linear, mean square conti...
Multidimensional heterogeneity and endogeneity are important features of...
Many objects of interest can be expressed as an L2 continuous functional...
There are many interesting and widely used estimators of a functional wi...