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Debiased Inverse Propensity Score Weighting for Estimation of Average
  Treatment Effects with High-Dimensional Confounders
v1v2v3 (latest)

Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders

Annals of Statistics (Ann. Stat.), 2020
17 November 2020
Yuhao Wang
Rajen Dinesh Shah
ArXiv (abs)PDFHTML

Papers citing "Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders"

11 / 11 papers shown
A Two-armed Bandit Framework for A/B Testing
A Two-armed Bandit Framework for A/B Testing
Jinjuan Wang
Qianglin Wen
Yu Zhang
Xiaodong Yan
Chengchun Shi
231
1
0
24 Jul 2025
Doubly Robust Alignment for Large Language Models
Doubly Robust Alignment for Large Language Models
Erhan Xu
Kai Ye
Hongyi Zhou
Luhan Zhu
Francesco Quinzan
Chengchun Shi
360
10
0
01 Jun 2025
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
H. Holzmann
A. Meister
324
1
0
17 Feb 2025
A decorrelation method for general regression adjustment in randomized
  experiments
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su
Wenlong Mou
Peng Ding
Martin J. Wainwright
235
2
0
16 Nov 2023
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
Lin Liu
Yuhao Wang
326
1
0
07 May 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation
  and Inference Methods for Heterogeneous Causal Effects of Multivalued
  Treatments Under Limited Overlap
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited OverlapSocial Science Research Network (SSRN), 2023
Ganesh Karapakula
309
0
0
13 Jan 2023
Rank-transformed subsampling: inference for multiple data splitting and
  exchangeable p-values
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
F. R. Guo
Rajen Dinesh Shah
369
18
0
06 Jan 2023
Off-policy estimation of linear functionals: Non-asymptotic theory for
  semi-parametric efficiency
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
Wenlong Mou
Martin J. Wainwright
Peter L. Bartlett
OffRL
353
13
0
26 Sep 2022
Efficient and Robust Semi-supervised Estimation of ATE with Partially
  Annotated Treatment and Response
Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response
Jue Hou
Rajarshi Mukherjee
Tianxi Cai
CML
208
6
0
24 Oct 2021
Heterogeneous Treatment Effect Estimation using machine learning for
  Healthcare application: tutorial and benchmark
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmarkJournal of Biomedical Informatics (JBI), 2021
Yaobin Ling
Pulakesh Upadhyaya
Luyao Chen
Xiaoqian Jiang
Yejin Kim
CML
522
27
0
27 Sep 2021
Minimax Semiparametric Learning With Approximate Sparsity
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
589
23
0
27 Dec 2019
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