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Estimating Treatment Effects from Irregular Time Series Observations
  with Hidden Confounders

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

4 March 2023
Defu Cao
James Enouen
Yujing Wang
Xiangchen Song
Chuizheng Meng
Hao Niu
Yan Liu
    CML
ArXivPDFHTML

Papers citing "Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders"

7 / 7 papers shown
Title
Instrumental Variable Estimation for Causal Inference in Longitudinal
  Data with Time-Dependent Latent Confounders
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
Wentao Gao
T. Le
CML
38
6
0
12 Dec 2023
Learning the Causal Structure of Networked Dynamical Systems under
  Latent Nodes and Structured Noise
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise
Augusto Santos
Diogo Rente
Rui Seabra
José M. F. Moura
11
4
0
10 Dec 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised
  Learning
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng
Yihe Dong
Sercan Ö. Arik
Yan Liu
Tomas Pfister
CML
AI4TS
23
0
0
01 Nov 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Defu Cao
James Enouen
Yong-Jin Liu
CML
35
2
0
19 Feb 2023
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over
  Time Using Noisy Proxies
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
47
21
0
06 Dec 2021
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
36
411
0
25 Oct 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
223
719
0
12 May 2016
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