4 citations · 8 across the 7 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
stat.ML2017
Debiased Machine Learning of Set-Identified Linear Models
Vira Semenova
This paper provides estimation and inference methods for an identified set's boundary (i.e., support function) where the selection among a very large number of covariates is based…
stat.ME2017
Debiased Machine Learning of Conditional Average Treatment Effects and Other Causal Functions
Vira Semenova, Victor Chernozhukov
This paper provides estimation and inference methods for the best linear predictor (approximation) of a structural function, such as conditional average structural and treatment ef…