Statistically optimal and computationally efficient low rank tensor completion from noisy entries
Work
Year: 2021
Type: article
Abstract: In this article, we develop methods for estimating a low rank tensor from noisy observations on a subset of its entries to achieve both statistical and computational efficiencies. There have been a lo... more
Source: The Annals of Statistics
Authors Dong Xia, Ming Yuan, CunâHui Zhang
Institutions University of Hong Kong, Hong Kong University of Science and Technology, Columbia University, Rutgers, The State University of New Jersey, Rutgers Sexual and Reproductive Health and Rights
Cites: 25
Cited by: 45
Related to: 10
FWCI: 3.456
Citation percentile (by year/subfield): 99.64
Subfield: Computational Mathematics
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid