ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching

9 November 2019

Papers citing "ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching"

7 / 7 papers shown

Title
Structured Low-Rank Tensors for Generalized Linear Models Batoul Taki Anand D. Sarwate W. Bajwa 19 2 0 05 Aug 2023
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 21 19 0 17 Jun 2022
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 32 30 0 16 Mar 2021
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence Yuetian Luo Wen Huang Xudong Li Anru R. Zhang 21 15 0 17 Nov 2020
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 94 1,342 0 06 Jul 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 49 98 0 28 Mar 2016
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 119 379 0 11 Jul 2010