12 citations · 12 across the 5 of their papers we have counts for
16 papers
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…
Learning Polynomial Transformations
Sitan Chen, Jerry Li, Yuanzhi Li +1
We consider the problem of learning high dimensional polynomial transformations of Gaussians. Given samples of the form , where is hidden and $p:…
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…
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection
Yuetian Luo, Anru R. Zhang
We note the significance of hypergraphic planted clique (HPC) detection in the investigation of computational hardness for a range of tensor problems. We ask if more evidence for t…
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…
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru Zhang, Yuetian Luo, Garvesh Raskutti +1
In this paper, we develop a novel procedure for low-rank tensor regression, namely \emph{\underline{I}mportance \underline{S}ketching \underline{L}ow-rank \underline{E}stimation fo…