Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality

15 June 2020

Papers citing "Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality"

19 / 19 papers shown

Title
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent Zhiyu Liu Zhi Han Yandong Tang Xi-Le Zhao Yao Wang 81 1 0 22 Jan 2024
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent Tian Tong Cong Ma Yuejie Chi 54 116 0 18 May 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Rungang Han Rebecca Willett Anru R. Zhang 59 65 0 26 Feb 2020
Statistical Inferences of Linear Forms for Noisy Matrix Completion Dong Xia M. Yuan 68 42 0 31 Aug 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 42 128 0 20 Feb 2019
Heteroskedastic PCA: Algorithm, Optimality, and Applications Anru R. Zhang T. Tony Cai Yihong Wu 113 71 0 19 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 56 421 0 25 Sep 2018
Sparse and Low-rank Tensor Estimation via Cubic Sketchings Botao Hao Anru R. Zhang Guang Cheng 38 50 0 29 Jan 2018
Spectral algorithms for tensor completion Andrea Montanari Nike Sun 97 85 0 23 Dec 2016
Exact tensor completion using t-SVD Zemin Zhang Shuchin Aeron 54 555 0 16 Feb 2015
Phase Retrieval via Wirtinger Flow: Theory and Algorithms Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 152 1,283 0 03 Jul 2014
Provable Tensor Factorization with Missing Data Prateek Jain Sewoong Oh 121 195 0 11 Jun 2014
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 127 245 0 24 Sep 2013
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography O. Semerci Ning Hao M. Kilmer Eric L. Miller MedIm 57 350 0 19 Jul 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 161 766 0 13 Jun 2013
Low-rank Matrix Completion using Alternating Minimization Prateek Jain Praneeth Netrapalli Sujay Sanghavi 166 1,066 0 03 Dec 2012
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 297 1,142 0 29 Oct 2012
Estimation of low-rank tensors via convex optimization Ryota Tomioka K. Hayashi H. Kashima 157 208 0 05 Oct 2010
Matrix Completion from a Few Entries Raghunandan H. Keshavan Andrea Montanari Sewoong Oh 292 1,242 0 20 Jan 2009