1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.ME2026★ 1 cited
Parametric Bootstrap for Fixed Edge-Probability Network Models
Zhixuan Shao, Can M. Le
This paper studies parametric bootstrap methods for network data, with the goal of quantifying the uncertainty of network statistics of interest. While existing network resampling…
cs.LG2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction
Jinfeng Zhuang, Yinrui Li, Runze Su +14
The predictions of click through rate (CTR) and conversion rate (CVR) play a crucial role in the success of ad-recommendation systems. A Deep Hierarchical Ensemble Network (DHEN) h…
stat.ME2024
Determining the Number of Communities in Sparse and Imbalanced Settings
Zhixuan Shao, Can M. Le
Community structures represent a crucial aspect of network analysis, and various methods have been developed to identify these communities. However, a common hurdle lies in determi…