12 citations · 14 across the 6 of their papers we have counts for
5 papers · 1 filter
Phase transition for detecting a small community in a large network
Jiashun Jin, Zheng Tracy Ke, Paxton Turner +1
How to detect a small community in a large network is an interesting problem, including clique detection as a special case, where a naive degree-based -test was shown to be po…
Discussion of "Vintage factor analysis with Varimax performs statistical inference"
Rungang Han, Anru R. Zhang
We wholeheartedly congratulate Drs. Rohe and Zeng for their insightful paper \cite{rohe2020vintage} on vintage factor analysis with Varimax rotation. This note discusses the condit…
Inference for Low-rank Tensors -- No Need to Debias
Dong Xia, Anru R. Zhang, Yuchen Zhou
In this paper, we consider the statistical inference for several low-rank tensor models. Specifically, in the Tucker low-rank tensor PCA or regression model, provided with any esti…
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…
Heteroskedastic PCA: Algorithm, Optimality, and Applications
Anru R. Zhang, T. Tony Cai, Yihong Wu
A general framework for principal component analysis (PCA) in the presence of heteroskedastic noise is introduced. We propose an algorithm called HeteroPCA, which involves iterativ…