Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

18 June 2023

Papers citing "Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators"

5 / 5 papers shown

Title
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning Siqi Xu Lin Liu Zhong Liu CML MedIm 21 8 0 10 Oct 2022
Estimation of smooth functionals of covariance operators: jackknife bias reduction and bounds in terms of effective rank V. Koltchinskii 17 2 0 20 May 2022
A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond Kuanhao Jiang Rajarshi Mukherjee Subhabrata Sen Pragya Sur 18 11 0 20 May 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa David R. Bellamy Thomas Kolokotrones J. M. Robins Andrew L. Beam 26 12 0 19 May 2022
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 37 21 0 27 Dec 2019