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Sparse and Low-rank Tensor Estimation via Cubic Sketchings

29 January 2018

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

36 / 36 papers shown

Title
A Scalable Factorization Approach for High-Order Structured Tensor Recovery Zhen Qin Michael B. Wakin Zhihui Zhu 15 0 0 19 Jun 2025
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements Eren C. Kızıldağ 118 0 0 07 Feb 2025
Robust Low-rank Tensor Train Recovery Zhen Qin Zhihui Zhu 72 1 0 19 Oct 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery Zhen Qin M. Wakin Zhihui Zhu 82 6 0 05 Jan 2024
Sharp minimax optimality of LASSO and SLOPE under double sparsity assumption Zhifan Li Yanhang Zhang J. Yin 61 4 0 18 Aug 2023
Distribution-on-Distribution Regression with Wasserstein Metric: Multivariate Gaussian Case Ryotaro Okano Masaaki Imaizumi 48 3 0 12 Jul 2023
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 66 1 0 20 Oct 2022
Group SLOPE Penalized Low-Rank Tensor Regression Yang Chen Ziyan Luo 48 2 0 24 Aug 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 106 20 0 17 Jun 2022
Tensor Principal Component Analysis in High Dimensional CP Models Yuefeng Han Cun-Hui Zhang 83 11 0 10 Aug 2021
Guaranteed Functional Tensor Singular Value Decomposition Rungang Han Pixu Shi Anru R. Zhang 65 23 0 09 Aug 2021
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements Tian Tong Cong Ma Ashley Prater-Bennette Erin E. Tripp Yuejie Chi 108 33 0 29 Apr 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence Yuetian Luo Anru R. Zhang 157 20 0 24 Apr 2021
Jointly Modeling and Clustering Tensors in High Dimensions Biao Cai Jingfei Zhang W. Sun 37 5 0 15 Apr 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 150 30 0 16 Mar 2021
Covariate-assisted Sparse Tensor Completion Hilda S Ibriga W. Sun 74 4 0 11 Mar 2021
Inference for Low-rank Tensors -- No Need to Debias Dong Xia Anru R. Zhang Yuchen Zhou 91 18 0 29 Dec 2020
CP Degeneracy in Tensor Regression Ya Zhou R. K. Wong Kejun He 37 5 0 22 Oct 2020
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration Yuetian Luo Garvesh Raskutti M. Yuan Anru R. Zhang 81 12 0 06 Aug 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 118 23 0 15 Jun 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Rungang Han Rebecca Willett Anru R. Zhang 119 70 0 26 Feb 2020
Partially Observed Dynamic Tensor Response Regression Jie Zhou W. Sun Jingfei Zhang Lexin Li 61 24 0 22 Feb 2020
The Sample Complexity of Meta Sparse Regression Zhanyu Wang Jean Honorio 108 3 0 22 Feb 2020
Nonconvex Low-Rank Tensor Completion from Noisy Data Changxiao Cai Gen Li H. Vincent Poor Yuxin Chen 148 82 0 11 Nov 2019
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 221 45 0 09 Nov 2019
Tensor Regression Using Low-rank and Sparse Tucker Decompositions Talal Ahmed Haroon Raja W. Bajwa 70 26 0 09 Nov 2019
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space Shuo Yang Yanyao Shen Sujay Sanghavi 42 3 0 08 Nov 2019
Supervised tensor decomposition with features on multiple modes Jiaxin Hu Chanwoo Lee Miaoyan Wang 65 10 0 21 Oct 2019
$Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees$ Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees Changxiao Cai Gen Li Yuejie Chi H. Vincent Poor Yuxin Chen 102 13 0 09 Oct 2019
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference T. Tony Cai Anru R. Zhang Yuchen Zhou 40 25 0 21 Sep 2019
Sparse Tensor Additive Regression Botao Hao Boxiang Wang Pengyuan Wang Jingfei Zhang Jian Yang W. Sun MedIm 62 27 0 31 Mar 2019
Heteroskedastic PCA: Algorithm, Optimality, and Applications Anru R. Zhang T. Tony Cai Yihong Wu 197 72 0 19 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 75 427 0 25 Sep 2018
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data Anru R. Zhang Rungang Han 140 58 0 06 Sep 2018
Tensor Methods for Additive Index Models under Discordance and Heterogeneity Krishnakumar Balasubramanian Jianqing Fan Zhuoran Yang 49 13 0 17 Jul 2018
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 96 237 0 21 Mar 2018