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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models

26 May 2025
Guanhao Zhou
Yuefeng Han
Xiufan Yu
    CML
ArXivPDFHTML

Papers citing "Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models"

15 / 15 papers shown
Title
Identification of Average Treatment Effects in Nonparametric Panel Models
Identification of Average Treatment Effects in Nonparametric Panel Models
Susan Athey
Guido Imbens
45
2
0
25 Mar 2025
Estimation and Inference for CP Tensor Factor Models
Estimation and Inference for CP Tensor Factor Models
Bin Chen
Yuefeng Han
Qiyang Yu
23
3
0
25 Jun 2024
Factor Augmented Tensor-on-Tensor Neural Networks
Factor Augmented Tensor-on-Tensor Neural Networks
Guanhao Zhou
Yuefeng Han
Xiufan Yu
60
2
0
30 May 2024
Entrywise Inference for Missing Panel Data: A Simple and
  Instance-Optimal Approach
Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
Yuling Yan
Martin J. Wainwright
17
4
0
24 Jan 2024
Generalized Causal Tree for Uplift Modeling
Generalized Causal Tree for Uplift Modeling
Preetam Nandy
Xiufan Yu
Wanjun Liu
Ye Tu
Kinjal Basu
S. Chatterjee
CML
46
4
0
04 Feb 2022
Causal Matrix Completion
Causal Matrix Completion
Anish Agarwal
M. Dahleh
Devavrat Shah
Dennis Shen
CML
220
52
0
30 Sep 2021
Tensor Principal Component Analysis in High Dimensional CP Models
Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han
Cun-Hui Zhang
54
11
0
10 Aug 2021
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite
  Width Neural Networks
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks
Adityanarayanan Radhakrishnan
George Stefanakis
M. Belkin
Caroline Uhler
49
26
0
31 Jul 2021
Tensor Factor Model Estimation by Iterative Projection
Tensor Factor Model Estimation by Iterative Projection
Yuefeng Han
Rong Chen
Dan Yang
Cun-Hui Zhang
AI4TS
53
27
0
04 Jun 2020
Design-based Analysis in Difference-In-Differences Settings with
  Staggered Adoption
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
Susan Athey
Guido Imbens
15
627
0
15 Aug 2018
Estimation and Inference on Heterogeneous Treatment Effects in
  High-Dimensional Dynamic Panels under Weak Dependence
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence
Vira Semenova
Matt Goldman
Victor Chernozhukov
Matt Taddy
CML
37
13
0
28 Dec 2017
Matrix Completion Methods for Causal Panel Data Models
Matrix Completion Methods for Causal Panel Data Models
Susan Athey
Mohsen Bayati
Nikolay Doudchenko
Guido Imbens
Khashayar Khosravi
62
418
0
27 Oct 2017
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional
  Predictors
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors
Wei Luo
Lingzhou Xue
Jiawei Yao
Xiufan Yu
AI4TS
60
15
0
01 May 2017
Balancing, Regression, Difference-In-Differences and Synthetic Control
  Methods: A Synthesis
Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis
Nikolay Doudchenko
Guido Imbens
49
415
0
25 Oct 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random
  Forests
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager
Susan Athey
SyDa
CML
131
2,474
0
14 Oct 2015
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