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Causal Mediation Analysis with Hidden Confounders

Feb 21, 2021
Lu Cheng, Ruocheng Guo, Huan Liu

* 11 pages, 3 figures 

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Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

Jan 16, 2021
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman

* 22 pages 

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Long-Term Effect Estimation with Surrogate Representation

Aug 19, 2020
Lu Cheng, Ruocheng Guo, Huan Liu

* 9 pages, 7 figures 

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Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation

Mar 19, 2020
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu


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Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data

Dec 22, 2019
Ruocheng Guo, Jundong Li, Huan Liu

* 10 pages, 5 figures, Accepted to SDM'20 

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Learning Individual Treatment Effects from Networked Observational Data

Jun 08, 2019
Ruocheng Guo, Jundong Li, Huan Liu

* 16 pages, 4 figures 

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Detecting Pathogenic Social Media Accounts without Content or Network Structure

May 04, 2019
Elham Shaabani, Ruocheng Guo, Paulo Shakarian

* 8 pages, 5 figures, International Conference on Data Intelligence and Security. arXiv admin note: text overlap with arXiv:1905.01553 

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Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects

Oct 03, 2018
Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu

* First two authors contributed equally, 4 pages, CIKM'18 

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A Survey of Learning Causality with Data: Problems and Methods

Sep 26, 2018
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu

* 35 pages, under review 

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Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression

Jan 05, 2018
Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian

* 9 pages, to appear in SDM'18 

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