Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

20 February 2019

Papers citing "Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization"

22 / 72 papers shown

Title
Recent Developments on Factor Models and its Applications in Econometric Learning Jianqing Fan Kunpeng Li Yuan Liao 25 15 0 21 Sep 2020
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle Lijun Ding Yuqian Zhang Yudong Chen 11 1 0 31 Aug 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs Yuxin Chen Jianqing Fan B. Wang Yuling Yan 9 16 0 04 Aug 2020
Median Matrix Completion: from Embarrassment to Optimality Weidong Liu Xiaojun Mao Raymond K. W. Wong 18 2 0 18 Jun 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
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation Devavrat Shah Dogyoon Song Zhi Xu Yuzhe Yang 16 31 0 11 Jun 2020
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent Tian Tong Cong Ma Yuejie Chi 27 113 0 18 May 2020
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation Jingwei Song Shaobo Xia Jun Wang Mitesh Patel Dong Chen UQCV 11 8 0 23 Apr 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 21 52 0 15 Jan 2020
Error bound of critical points and KL property of exponent $1/2$ for squared F-norm regularized factorization Ting Tao S. Pan Shujun Bi 10 4 0 11 Nov 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 33 13 0 09 Oct 2019
Statistical Inferences of Linear Forms for Noisy Matrix Completion Dong Xia M. Yuan 19 41 0 31 Aug 2019
Low-rank matrix completion and denoising under Poisson noise Andrew D. McRae Mark A. Davenport 14 19 0 11 Jul 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 33 136 0 10 Apr 2019
On the convex geometry of blind deconvolution and matrix completion Felix Krahmer Dominik Stöger 19 18 0 28 Feb 2019
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices Yuxin Chen Chen Cheng Jianqing Fan 13 39 0 30 Nov 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 39 416 0 25 Sep 2018
Nonconvex Matrix Factorization from Rank-One Measurements Yuanxin Li Cong Ma Yuxin Chen Yuejie Chi 25 51 0 17 Feb 2018
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms Rahul Mazumder Diego Saldana Haolei Weng 23 13 0 24 Jan 2018
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution Cong Ma Kaizheng Wang Yuejie Chi Yuxin Chen 21 240 0 28 Nov 2017
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences Yuxin Chen Emmanuel Candes 37 92 0 19 Sep 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 49 96 0 28 Mar 2016