2 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Meijia Shao, Yuan Zhang
This paper studies the open problem of conformalized entry prediction in a row/column-exchangeable matrix. The matrix setting presents novel and unique challenges, but there exists…
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…
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…