Reasoning and Knowledge Discovery (RISE) Lab
Reasoning and Knowledge Discovery (RISE) Lab
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Yaliang Li
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Concept-Level Model Interpretation from the Causal Aspect
Automated Graph Learning via Population Based Self-Tuning GCN
Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation
A Survey on Causal Inference
Causal Inference Meets Machine Learning
Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation
On the Estimation of Treatment Effect with Text Covariates
Representation Learning for Treatment Effect Estimation from Observational Data
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach
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