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$β$-Intact-VAE: Identifying and Estimating Causal Effects under
  Limited Overlap

βββ-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap

11 October 2021
Pengzhou (Abel) Wu
Kenji Fukumizu
    CML
ArXivPDFHTML

Papers citing "$β$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap"

8 / 8 papers shown
Title
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
46
0
0
08 May 2025
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder
Andreas Sauter
Saber Salehkaleybar
Aske Plaat
Erman Acar
CML
43
0
0
03 Mar 2025
Graph-based Unsupervised Disentangled Representation Learning via
  Multimodal Large Language Models
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie
Qiuyu Chen
Yunnan Wang
Zequn Zhang
Xin Jin
Wenjun Zeng
OffRL
31
2
0
26 Jul 2024
Causal Inference with Latent Variables: Recent Advances and Future
  Prospectives
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu
Yinhan He
Jing Ma
Mengxuan Hu
Sheng R. Li
Jundong Li
CML
30
3
0
20 Jun 2024
Partial Counterfactual Identification of Continuous Outcomes with a
  Curvature Sensitivity Model
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
13
11
0
02 Jun 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the
  Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Alicia Curth
M. Schaar
CML
13
25
0
06 Feb 2023
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Pengzhou (Abel) Wu
Kenji Fukumizu
BDL
OOD
CML
22
3
0
30 Sep 2021
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
718
0
12 May 2016
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