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Root-n consistent semiparametric learning with high-dimensional nuisance
  functions under minimal sparsity

Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity

7 May 2023
Lin Liu
Yuhao Wang
ArXivPDFHTML

Papers citing "Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity"

3 / 3 papers shown
Title
Augmented balancing weights as linear regression
Augmented balancing weights as linear regression
David Bruns-Smith
O. Dukes
Avi Feller
Elizabeth L. Ogburn
27
10
0
27 Apr 2023
A New Central Limit Theorem for the Augmented IPW Estimator: Variance
  Inflation, Cross-Fit Covariance and Beyond
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
23
11
0
20 May 2022
Minimax Semiparametric Learning With Approximate Sparsity
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
42
21
0
27 Dec 2019
1