9 citations · 24 across the 7 of their papers we have counts for
4 papers · 1 filter
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
Rungang Han, Yuetian Luo, Miaoyan Wang +1
High-order clustering aims to identify heterogeneous substructures in multiway datasets that arise commonly in neuroimaging, genomics, social network studies, etc. The non-convex a…
On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix
T. Tony Cai, Rungang Han, Anru R. Zhang
This paper focuses on the non-asymptotic concentration of the heteroskedastic Wishart-type matrices. Suppose is a -by- random matrix and i…
A Schatten- Low-rank Matrix Perturbation Analysis via Perturbation Projection Error Bound
Yuetian Luo, Rungang Han, Anru R. Zhang
This paper studies the Schatten- error of low-rank matrix estimation by singular value decomposition under perturbation. We specifically establish a perturbation bound on the lo…
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han, Rebecca Willett, Anru R. Zhang
This paper describes a flexible framework for generalized low-rank tensor estimation problems that includes many important instances arising from applications in computational imag…