Sparse and Low-rank Tensor Estimation via Cubic Sketchings

29 January 2018

Papers citing "Sparse and Low-rank Tensor Estimation via Cubic Sketchings"

11 / 11 papers shown

Title
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements Eren C. Kızıldağ 63 0 0 07 Feb 2025
Distribution-on-Distribution Regression with Wasserstein Metric: Multivariate Gaussian Case Ryotaro Okano Masaaki Imaizumi 21 2 0 12 Jul 2023
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 15 1 0 20 Oct 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 35 19 0 17 Jun 2022
Tensor Principal Component Analysis in High Dimensional CP Models Yuefeng Han Cun-Hui Zhang 40 10 0 10 Aug 2021
Guaranteed Functional Tensor Singular Value Decomposition Rungang Han Pixu Shi Anru R. Zhang 34 20 0 09 Aug 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 51 30 0 16 Mar 2021
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 15 23 0 15 Jun 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Rungang Han Rebecca Willett Anru R. Zhang 27 65 0 26 Feb 2020
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 29 44 0 09 Nov 2019
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data Anru R. Zhang Rungang Han 13 57 0 06 Sep 2018