Tensor Regression Using Low-rank and Sparse Tucker Decompositions

9 November 2019

Papers citing "Tensor Regression Using Low-rank and Sparse Tucker Decompositions"

6 / 6 papers shown

Title
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements Eren C. Kızıldağ 58 0 0 07 Feb 2025
Factor Augmented Tensor-on-Tensor Neural Networks Guanhao Zhou Yuefeng Han Xiufan Yu 32 1 0 30 May 2024
Structured Low-Rank Tensors for Generalized Linear Models Batoul Taki Anand D. Sarwate W. Bajwa 21 2 0 05 Aug 2023
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 29 19 0 17 Jun 2022
Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance Carlos Llosa-Vite R. Maitra CML 23 19 0 18 Dec 2020
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016