Tensor Principal Component Analysis in High Dimensional CP Models

10 August 2021

Papers citing "Tensor Principal Component Analysis in High Dimensional CP Models"

6 / 6 papers shown

Title
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting Linghang Kong Elynn Chen Yuzhou Chen Yuefeng Han AI4TS 26 0 0 27 Oct 2024
Factor Augmented Tensor-on-Tensor Neural Networks Guanhao Zhou Yuefeng Han Xiufan Yu 27 1 0 30 May 2024
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 38 4 0 10 Mar 2023
Rank and Factor Loadings Estimation in Time Series Tensor Factor Model by Pre-averaging Weilin Chen Clifford Lam 11 11 0 08 Aug 2022
Modelling matrix time series via a tensor CP-decomposition Jinyuan Chang Jingjing He Lin Yang Q. Yao AI4TS 23 29 0 31 Dec 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence Yuetian Luo Anru R. Zhang 40 18 0 24 Apr 2021