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Causal Inference with Conditional Front-Door Adjustment and Identifiable
  Variational Autoencoder

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder

3 October 2023
Ziqi Xu
Debo Cheng
Jiuyong Li
Jixue Liu
Lin Liu
Kui Yu
    CML
ArXivPDFHTML

Papers citing "Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder"

5 / 5 papers shown
Title
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Winston Chen
Trenton Chang
Jenna Wiens
CML
41
0
0
08 May 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Ruichu Cai
Junjie Wan
Weilin Chen
Zeqin Yang
Zijian Li
Peng Zhen
Jiecheng Guo
CML
49
0
0
08 May 2025
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
26
11
0
07 Nov 2022
Finding and Listing Front-door Adjustment Sets
Finding and Listing Front-door Adjustment Sets
H. Jeong
Jin Tian
Elias Bareinboim
20
7
0
11 Oct 2022
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
719
0
12 May 2016
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