A Unified Computational and Statistical Framework for Nonconvex Low-Rank
Matrix Estimation

A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation

17 October 2016

Quanquan Gu

Papers citing "A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation"

15 / 15 papers shown

Title
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization Nuoya Xiong Lijun Ding Simon S. Du 48 12 0 03 Oct 2023
Simultaneous inference for generalized linear models with unmeasured confounders Jin-Hong Du Larry Wasserman Kathryn Roeder 21 4 0 13 Sep 2023
A General Algorithm for Solving Rank-one Matrix Sensing Lianke Qin Zhao Song Ruizhe Zhang 33 15 0 22 Mar 2023
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective Yuetian Luo Nicolas García Trillos 24 6 0 29 Sep 2022
Supervised Dictionary Learning with Auxiliary Covariates Joo-Hyun Lee Hanbaek Lyu W. Yao 30 1 0 14 Jun 2022
Joint Learning of Linear Time-Invariant Dynamical Systems Aditya Modi Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis 32 17 0 21 Dec 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 29 56 0 12 Sep 2021
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization Yuetian Luo Xudong Li Anru R. Zhang 33 9 0 03 Aug 2021
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements Ziye Ma Yingjie Bi Javad Lavaei Somayeh Sojoudi 29 14 0 18 May 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 49 30 0 16 Mar 2021
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence Yuetian Luo Wen Huang Xudong Li Anru R. Zhang 23 15 0 17 Nov 2020
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion Yaqing Wang Quanming Yao James T. Kwok 24 0 0 14 Aug 2020
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 20 128 0 20 Feb 2019
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow Xiao Zhang S. Du Quanquan Gu 26 24 0 03 Mar 2018
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems S. Du Yining Wang Aarti Singh 27 16 0 22 Feb 2017