WebJun 2, 2024 · In this article, we propose Covariate-assisted Sparse Tensor Completion (COSTCO) to incorporate covariate information for the recovery of the sparse tensor. The key idea is to jointly extract ... Web1 Introduction Low-rank tensor completion aims to impute missing entries of a partially observed tensor by forming a low-rank decomposition on the observed entries. It has been wi

Imputed quantile tensor regression for near-sited spatial-temporal data

WebThe tensor train (TT) format enjoys appealing advantages in handling structural high-order tensors. The recent decade has witnessed the wide applications of TT-format tensors from diverse disciplines, among which tensor completion has drawn considerable ... Web1 Introduction Low-rank tensor completion aims to impute missing entries of a partially observed tensor by forming a low-rank decomposition on the observed entries. It has … remington 1911 silver with black grips

Covariate-assisted Sparse Tensor Completion

WebFeb 21, 2024 · Our algorithm and analysis extends seminal results for exact matrix completion (Candes & Recht, 2009) to the tensor setting via the sum-of-squares method. The main technical challenge is to show that a small number of randomly chosen monomials are enough to construct a degree-3 polynomial with precisely planted orthogonal global … WebIbriga and Sun (2024) proposed a covariate assisted sparse tensor completion method to deal with highly missing tensor. Therefore, the aim of this paper is to better model the … Web1 Introduction Low-rank tensor completion aims to impute missing entries of a partially observed tensor by forming a low-rank decomposition on the observed entries. It has … remington 1911 r1 stainless pistol