80 citations · 85 across the 4 of their papers we have counts for
4 papers
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…
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,…
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…
ESCM: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
Hao Wang, Tai-Wei Chang, Tianqiao Liu +5
Accurate estimation of post-click conversion rate is critical for building recommender systems, which has long been confronted with sample selection bias and data sparsity issues.…