An Optimal Statistical and Computational Framework for Generalized Tensor Estimation

26 February 2020

Papers citing "An Optimal Statistical and Computational Framework for Generalized Tensor Estimation"

44 / 44 papers shown

Title
Robust Low-rank Tensor Train Recovery Zhen Qin Zhihui Zhu 44 1 0 19 Oct 2024
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition Zhen Qin Zhihui Zhu 67 4 0 10 Jun 2024
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges Arnab Auddy Dong Xia Ming Yuan AI4CE 44 2 0 28 May 2024
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization Jeongyeol Kwon Dohyun Kwon Hanbaek Lyu 34 6 0 11 Feb 2024
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery Zhen Qin M. Wakin Zhihui Zhu 43 5 0 05 Jan 2024
Sharp Analysis of Power Iteration for Tensor PCA Yuchen Wu Kangjie Zhou 31 0 0 02 Jan 2024
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks Zhen Qin Xuwei Tan Zhihui Zhu 32 0 0 24 Nov 2023
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization Cong Ma Xingyu Xu Tian Tong Yuejie Chi 18 9 0 09 Oct 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 43 3 0 02 Jul 2023
On High-dimensional and Low-rank Tensor Bandits Chengshuai Shi Cong Shen N. Sidiropoulos 16 2 0 06 May 2023
Statistical and computational rates in high rank tensor estimation Chanwoo Lee Miaoyan Wang 25 1 0 08 Apr 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 38 4 0 10 Mar 2023
On the Multiway Principal Component Analysis Jialin Ouyang Ming Yuan 11 2 0 14 Feb 2023
Efficient Estimation for Longitudinal Networks via Adaptive Merging H. Zhang Junhui Wang 14 2 0 15 Nov 2022
Group SLOPE Penalized Low-Rank Tensor Regression Yang Chen Ziyan Luo 13 2 0 24 Aug 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 29 3 0 11 Jul 2022
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent Harry Dong Tian Tong Cong Ma Yuejie Chi 33 12 0 18 Jun 2022
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
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA Michael Weylandt George Michailidis 11 0 0 09 Feb 2022
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models Jiaxin Hu Miaoyan Wang 17 4 0 19 Jan 2022
Long Random Matrices and Tensor Unfolding Gerard Ben Arous Daniel Zhengyu Huang Jiaoyang Huang 33 18 0 19 Oct 2021
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 11 26 0 27 Aug 2021
Tensor Principal Component Analysis in High Dimensional CP Models Yuefeng Han Cun-Hui Zhang 23 10 0 10 Aug 2021
Guaranteed Functional Tensor Singular Value Decomposition Rungang Han Pixu Shi Anru R. Zhang 32 20 0 09 Aug 2021
Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition Zhongyuan Lyu Dong Xia Yuan Zhang 25 21 0 30 Jun 2021
Learning Good State and Action Representations via Tensor Decomposition Chengzhuo Ni Yaqi Duan M. Dahleh Anru R. Zhang Mengdi Wang 18 7 0 03 May 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 13 32 0 29 Apr 2021
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence Yuetian Luo Anru R. Zhang 42 18 0 24 Apr 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 40 30 0 16 Mar 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series Chanwoo Lee Miaoyan Wang 15 5 0 31 Jan 2021
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling Di Wang Yao Zheng Guodong Li AI4TS 17 33 0 12 Jan 2021
Inference for Low-rank Tensors -- No Need to Debias Dong Xia Anru R. Zhang Yuchen Zhou 29 18 0 29 Dec 2020
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit Rungang Han Yuetian Luo Miaoyan Wang Anru R. Zhang 36 39 0 18 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 24 165 0 15 Dec 2020
Statistical and computational thresholds for the planted $k$ -densest sub-hypergraph problem Luca Corinzia Paolo Penna Wojtek Szpankowski J. M. Buhmann 11 6 0 23 Nov 2020
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration Yuetian Luo Garvesh Raskutti M. Yuan Anru R. Zhang 32 10 0 06 Aug 2020
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making Jie Zhou Botao Hao Zheng Wen Jingfei Zhang W. Sun 30 6 0 31 Jul 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 13 23 0 15 Jun 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits Yuetian Luo Anru R. Zhang 24 44 0 21 May 2020
Partially Observed Dynamic Tensor Response Regression Jie Zhou W. Sun Jingfei Zhang Lexin Li 31 23 0 22 Feb 2020
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data Davoud Ataee Tarzanagh George Michailidis 13 5 0 24 Nov 2019
Supervised tensor decomposition with features on multiple modes Jiaxin Hu Chanwoo Lee Miaoyan Wang 14 10 0 21 Oct 2019
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015
Poisson noise reduction with non-local PCA Joseph Salmon Zachary T. Harmany Charles-Alban Deledalle Rebecca Willett 52 313 0 02 Jun 2012