ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1305.6099
  4. Cited By
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""

13 / 13 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
50
1
0
22 Feb 2024
Inference on Optimal Dynamic Policies via Softmax Approximation
Inference on Optimal Dynamic Policies via Softmax Approximation
Qizhao Chen
Morgane Austern
Vasilis Syrgkanis
OffRL
12
1
0
08 Mar 2023
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
17
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
30
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
Robust Causal Learning for the Estimation of Average Treatment Effects
Robust Causal Learning for the Estimation of Average Treatment Effects
Yiyan Huang
Cheuk Hang Leung
Xing Yan
Qi Wu
Shumin Ma
Zhiri Yuan
DongDong Wang
Zhixiang Huang
OOD
CML
13
7
0
05 Sep 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
10
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
15
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
748
0
04 Apr 2008
1