2 citations · 5 across the 5 of their papers we have counts for
5 papers
Predictive Subsampling for Scalable Inference in Networks
Arpan Kumar, Minh Tang, Srijan Sengupta
Current methods for statistical inference in networks often encounter substantial computational bottlenecks when applied to the massive network datasets that are increasingly commo…
A Unified Framework for Community Detection and Model Selection in Blockmodels
Subhankar Bhadra, Minh Tang, Srijan Sengupta
Blockmodels are a foundational tool for modeling community structure in networks, with the stochastic blockmodel (SBM), degree-corrected blockmodel (DCBM), and popularity-adjusted…
Eigenvector fluctuations and limit results for random graphs with infinite rank kernels
Minh Tang, Joshua R. Cape
This paper systematically studies the behavior of the leading eigenvectors for independent edge undirected random graphs generated from a general latent position model whose link f…
Regression for matrix-valued data via Kronecker products factorization
Yin-Jen Chen, Minh Tang
We study the matrix-variate regression problem for in the high dimensional regime wherein the response are matr…
A semiparametric two-sample hypothesis testing problem for random dot product graphs
Minh Tang, Avanti Athreya, Daniel L. Sussman +2
Two-sample hypothesis testing for random graphs arises naturally in neuroscience, social networks, and machine learning. In this paper, we consider a semiparametric problem of two-…