80 citations · 85 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
Continual Causal Inference with Incremental Observational Data
Zhixuan Chu, Ruopeng Li, Stephen Rathbun +1
The era of big data has witnessed an increasing availability of observational data from mobile and social networking, online advertising, web mining, healthcare, education, public…
cs.LG2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
Lei Zhang, Xiaodong Yan, Jianshan He +2
Graph convolutional networks (GCNs) have been proved to be very practical to handle various graph-related tasks. It has attracted considerable research interest to study deep GCNs,…
cs.LG2023★ 4 cited
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
Zhixuan Chu, Jianmin Huang, Ruopeng Li +2
Causal inference has numerous real-world applications in many domains, such as health care, marketing, political science, and online advertising. Treatment effect estimation, a fun…