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Found 3 papers, 1 papers with code
Multiply-Robust Causal Change Attribution
Comparing two samples of data, we observe a change in the distribution of an outcome variable.
Finite-Sample Guarantees for High-Dimensional DML
This paper gives novel finite-sample guarantees for joint inference on high-dimensional DML, bounding how far the finite-sample distribution of the estimator is from its asymptotic Gaussian approximation.
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
We also propose a Random Forest method which learns a locally linear representation of the Riesz function.
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