Intact-VAE: Estimating Treatment Effects under Unobserved Confounding

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Intact-VAE: Estimating Treatment Effects under Unobserved Confounding

17 January 2021

Pengzhou (Abel) Wu

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Papers citing "Intact-VAE: Estimating Treatment Effects under Unobserved Confounding"

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Title
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Leilei Gan Kun Kuang CML 86 1 0 19 Jul 2024
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Guy Van den Broeck CML 51 0 0 09 Oct 2023
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling M. Vowels CML 48 1 0 08 Aug 2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation Bing Xue A. Said Ziqi Xu Hanyang Liu N. Shah Hanqing Yang Philip R. O. Payne Chenyang Lu 126 5 0 06 Jul 2023
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics M. Vowels S. Akbari Necati Cihan Camgöz Richard Bowden 56 4 0 18 Feb 2022
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 77 15 0 11 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 65 3 0 30 Sep 2021
Targeted VAE: Variational and Targeted Learning for Causal Inference M. Vowels Necati Cihan Camgöz Richard Bowden BDL OOD CML 34 8 0 28 Sep 2020