Linked Causal Variational Autoencoder for Inferring Paired Spillover
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Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects

9 August 2018

Huan Liu

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Papers citing "Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects"

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Title
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen Tong Chen Mingming Gong Li Kheng Chai S. Sadiq Hongzhi Yin CML 86 0 0 08 May 2025
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks Ziqiang Cui Xing Tang Yang Qiao Bowei He Liang Chen Xiuqiang He Chen Ma CML 76 0 0 12 Jan 2024
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 81 5 0 25 Nov 2023
Causal Inference from Text: Unveiling Interactions between Variables Yuxiang Zhou Yulan He CML 67 4 0 09 Nov 2023
Estimating Treatment Effects Under Heterogeneous Interference Xiaofeng Lin Guoxi Zhang Xiaotian Lu Han Bao Koh Takeuchi Hisashi Kashima CML 62 5 0 25 Sep 2023
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 60 49 0 07 Jul 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 100 54 0 07 Feb 2022
Deep Causal Reasoning for Recommendations Yaochen Zhu Jing Yi Jiayi Xie Zhenzhong Chen CML BDL 81 10 0 06 Jan 2022
AI Assurance using Causal Inference: Application to Public Policy A. Svetovidov Abdul Rahman Feras A. Batarseh CML 31 2 0 01 Dec 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 77 14 0 27 Oct 2021
Adaptive Multi-Source Causal Inference Thanh Vinh Vo Pengfei Wei T. Hoang Tze-Yun Leong 87 1 0 31 May 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models Severi Rissanen Pekka Marttinen CML 183 28 0 12 Feb 2021
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 239 36 0 21 Jan 2021
Causal Modeling with Stochastic Confounders Thanh Vinh Vo Pengfei Wei Wicher P. Bergsma Tze-Yun Leong BDL CML 33 0 0 24 Apr 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 88 41 0 20 Feb 2020
A Survey on Causal Inference Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang CML 117 516 0 05 Feb 2020
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data Ruocheng Guo Jundong Li Huan Liu CML OffRL 85 21 0 22 Dec 2019
Learning Individual Causal Effects from Networked Observational Data Ruocheng Guo Wenlin Yao Huan Liu CML OOD 72 97 0 08 Jun 2019
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 77 169 0 25 Sep 2018