arXiv stat.ML
· Papers
Debiased Machine Learning: Identification, Estimation, and Shape Constraints
arXiv:2607.24472v1 Announce Type: cross Abstract: We develop a general framework of identification and estimation for automatic debiased machine learning (DML) where the parameter of interest $theta_0$ is identified by a moment condition involving a nuisance $gamma_0$ that may be high dimensional. DML leverages machi