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Regularizing Double Machine Learning in Partially Linear Endogenous
  Models
v1v2 (latest)

Regularizing Double Machine Learning in Partially Linear Endogenous Models

29 January 2021
Corinne Emmenegger
Peter Buhlmann
ArXiv (abs)PDFHTML

Papers citing "Regularizing Double Machine Learning in Partially Linear Endogenous Models"

5 / 5 papers shown
Title
Distributional robustness of K-class estimators and the PULSE
Distributional robustness of K-class estimators and the PULSE
M. E. Jakobsen
J. Peters
OOD
34
29
0
07 May 2020
Double/Debiased Machine Learning for Dynamic Treatment Effects via
  g-Estimation
Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation
Greg Lewis
Vasilis Syrgkanis
CML
36
35
0
17 Feb 2020
Selective machine learning of doubly robust functionals
Selective machine learning of doubly robust functionals
Yifan Cui
E. T. Tchetgen
OOD
96
23
0
05 Nov 2019
A unifying approach for doubly-robust $\ell_1$ regularized estimation of
  causal contrasts
A unifying approach for doubly-robust ℓ1\ell_1ℓ1​ regularized estimation of causal contrasts
Ezequiel Smucler
A. Rotnitzky
J. M. Robins
CML
64
79
0
07 Apr 2019
Robustness of Causal Claims
Robustness of Causal Claims
Judea Pearl
48
43
0
11 Jul 2012
1