2 citations · 5 across the 4 of their papers we have counts for
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stat.ME2023★ 1 cited
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments
Meijia Shao, Dong Xia, Yuan Zhang
U-statistics play central roles in many statistical learning tools but face the haunting issue of scalability. Significant efforts have been devoted into accelerating computation b…
stat.ME2022★ 1 cited
Higher-order accurate two-sample network inference and network hashing
Meijia Shao, Dong Xia, Yuan Zhang +2
Two-sample hypothesis testing for network comparison presents many significant challenges, including: leveraging repeated network observations and known node registration, but with…
stat.ME2021★ 2 cited
L-2 Regularized maximum likelihood for -model in large and sparse networks
Meijia Shao, Yu Zhang, Qiuping Wang +3
The -model is a powerful tool for modeling large and sparse networks driven by degree heterogeneity, where many network models become infeasible due to computational challenge a…