1 code implementation • 19 Oct 2020 • Jessica Gronsbell, Molei Liu, Lu Tian, Tianxi Cai
In step II, we augment the initial imputations to ensure the consistency of the resulting estimators regardless of the specification of the prediction model or the imputation model.
1 code implementation • 6 Jun 2020 • Molei Liu, Eugene Katsevich, Lucas Janson, Aaditya Ramdas
We propose the distilled CRT, a novel approach to using state-of-the-art machine learning algorithms in the CRT while drastically reducing the number of times those algorithms need to be run, thereby taking advantage of their power and the CRT's statistical guarantees without suffering the usual computational expense.
Methodology