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Supplementary Appendix for "Inference on Treatment Effects After
  Selection Amongst High-Dimensional Controls"

Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"

27 May 2013
A. Belloni
Victor Chernozhukov
Christian B. Hansen
ArXivPDFHTML

Papers citing "Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls""

11 / 11 papers shown
Title
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
45
1
0
22 Feb 2024
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
15
11
0
30 Jan 2023
Convolutional neural networks for valid and efficient causal inference
Convolutional neural networks for valid and efficient causal inference
Mohammad Ghasempour
Niloofar Moosavi
X. de Luna
CML
15
2
0
27 Jan 2023
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
A. Belloni
Fei Fang
A. Volfovsky
CML
28
6
0
07 Dec 2022
Reconciling model-X and doubly robust approaches to conditional
  independence testing
Reconciling model-X and doubly robust approaches to conditional independence testing
Ziang Niu
Abhinav Chakraborty
O. Dukes
Eugene Katsevich
9
7
0
27 Nov 2022
Testing Heteroskedasticity in High-Dimensional Linear Regression
Testing Heteroskedasticity in High-Dimensional Linear Regression
Akira Shinkyu
9
1
0
31 Oct 2022
An Overview of Healthcare Data Analytics With Applications to the
  COVID-19 Pandemic
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Z. Fei
Y. Ryeznik
O. Sverdlov
C. Tan
Weng Kee Wong
8
20
0
25 Nov 2021
Unpacking the Black Box: Regulating Algorithmic Decisions
Unpacking the Black Box: Regulating Algorithmic Decisions
Laura Blattner
Scott Nelson
Jann Spiess
MLAU
FaML
13
19
0
05 Oct 2021
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted
  $L_1$ regularized Neural Networks Predictions
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted L1L_1L1​ regularized Neural Networks Predictions
M. Rostami
O. Saarela
M. Escobar
19
1
0
02 Aug 2021
The conditional permutation test for independence while controlling for
  confounders
The conditional permutation test for independence while controlling for confounders
Thomas B. Berrett
Yi Wang
Rina Foygel Barber
R. Samworth
17
16
0
14 Jul 2018
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
172
738
0
04 Apr 2008
1