Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank- $1$ Updates

21 February 2014

Papers citing "Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates"

27 / 27 papers shown

Title
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges Arnab Auddy Dong Xia Ming Yuan AI4CE 50 2 0 28 May 2024
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 45 3 0 02 Jul 2023
Reconstructing Training Data from Model Gradient, Provably Zihan Wang Jason D. Lee Qi Lei FedML 32 24 0 07 Dec 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models Yuchen Wu Kangjie Zhou 29 6 0 07 Nov 2022
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition Samuel B. Hopkins T. Schramm Jonathan Shi 25 23 0 05 Mar 2022
Modelling matrix time series via a tensor CP-decomposition Jinyuan Chang Jingjing He Lin Yang Q. Yao AI4TS 41 29 0 31 Dec 2021
Model based Multi-agent Reinforcement Learning with Tensor Decompositions Pascal R. van der Vaart Anuj Mahajan Shimon Whiteson AI4CE 31 8 0 27 Oct 2021
Tensor Principal Component Analysis in High Dimensional CP Models Yuefeng Han Cun-Hui Zhang 31 10 0 10 Aug 2021
Guaranteed Functional Tensor Singular Value Decomposition Rungang Han Pixu Shi Anru R. Zhang 34 20 0 09 Aug 2021
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models Haolin Chen Luis Rademacher 29 3 0 16 Jul 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits Yuetian Luo Anru R. Zhang 35 44 0 21 May 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park K. T. Carr Stephan Zhang Yisong Yue Rose Yu 33 14 0 13 Feb 2020
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks M. Fornasier T. Klock Michael Rauchensteiner 21 18 0 30 Jun 2019
Factor Models for High-Dimensional Tensor Time Series Rong Chen Dan Yang Cun-Hui Zhang AI4TS 31 90 0 18 May 2019
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm Christopher DeCarolis Mukul Ram Seyed-Alireza Esmaeili Yu-Xiang Wang Furong Huang FedML 11 12 0 25 May 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 21 12 0 16 May 2018
Tensor SVD: Statistical and Computational Limits Anru R. Zhang Dong Xia 21 166 0 08 Mar 2017
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis W. Sun Lexin Li 27 92 0 15 Sep 2016
When Are Nonconvex Problems Not Scary? Ju Sun Qing Qu John N. Wright 24 166 0 21 Oct 2015
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods Majid Janzamin Hanie Sedghi Anima Anandkumar 32 26 0 28 Jun 2015
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 33 202 0 26 Apr 2015
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms Rong Ge Tengyu Ma 27 65 0 21 Apr 2015
A New Sampling Technique for Tensors Srinadh Bhojanapalli Sujay Sanghavi 31 35 0 17 Feb 2015
Provable Sparse Tensor Decomposition W. Sun Junwei Lu Han Liu Guang Cheng 33 127 0 05 Feb 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating directions Qing Qu Ju Sun John N. Wright 16 111 0 15 Dec 2014
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models Hanie Sedghi Majid Janzamin Anima Anandkumar 48 15 0 09 Dec 2014
Provable Tensor Factorization with Missing Data Prateek Jain Sewoong Oh 35 195 0 11 Jun 2014

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-111 Updates

Papers citing "Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$ Updates"

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank- $1$ Updates