16 citations · 19 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
Ziqi Xu, Debo Cheng, Jiuyong Li +3
An essential and challenging problem in causal inference is causal effect estimation from observational data. The problem becomes more difficult with the presence of unobserved con…
cs.LG2023★ 1 cited
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
Ziqi Xu, Debo Cheng, Jiuyong Li +3
An essential problem in causal inference is estimating causal effects from observational data. The problem becomes more challenging with the presence of unobserved confounders. Whe…
cs.LG2021★ 1 cited
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning
Kui Yu, Zhaolong Ling, Lin Liu +2
Local-to-global learning approach plays an essential role in Bayesian network (BN) structure learning. Existing local-to-global learning algorithms first construct the skeleton of…