Search Results for author: Nitai Fingerhut

Found 1 papers, 1 papers with code

Coordinated Double Machine Learning

1 code implementation2 Jun 2022 Nitai Fingerhut, Matteo Sesia, Yaniv Romano

Double machine learning is a statistical method for leveraging complex black-box models to construct approximately unbiased treatment effect estimates given observational data with high-dimensional covariates, under the assumption of a partially linear model.

BIG-bench Machine Learning

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