Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method

15 November 2015

Qing Qu

Papers citing "Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method"

22 / 22 papers shown

Title
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 30 8 0 24 Oct 2023
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 21 0 0 06 Feb 2023
Optimal Regularization for a Data Source Oscar Leong Eliza O'Reilly Yong Sheng Soh V. Chandrasekaran 25 4 0 27 Dec 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 25 42 0 19 Sep 2022
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 30 194 0 06 May 2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit Ye Xue Vincent K. N. Lau Songfu Cai 33 3 0 21 Apr 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size Alain Durmus P. Jiménez Eric Moulines Salem Said 29 12 0 15 Feb 2021
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning Shixiang Chen Zengde Deng Shiqian Ma Anthony Man-Cho So 18 28 0 05 May 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 22 9 0 05 Dec 2019
Short-and-Sparse Deconvolution -- A Geometric Approach Yenson Lau Qing Qu Han-Wen Kuo Pengcheng Zhou Yuqian Zhang John N. Wright 19 29 0 28 Aug 2019
$Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning$ Unique Sharp Local Minimum in $\ell_1$ -minimization Complete Dictionary Learning Yu Wang Siqi Wu Bin Yu 20 5 0 22 Feb 2019
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate J.N. Zhang Hongyi Zhang S. Sra 26 39 0 10 Nov 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence C. J. Li Mengdi Wang Han Liu Tong Zhang 34 12 0 29 Aug 2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P. Mertikopoulos Bruno Lecouat Houssam Zenati Chuan-Sheng Foo V. Chandrasekhar Georgios Piliouras 34 291 0 07 Jul 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds Nilesh Tripuraneni Nicolas Flammarion Francis R. Bach Michael I. Jordan 38 99 0 26 Feb 2018
Blind Gain and Phase Calibration via Sparse Spectral Methods Yanjun Li Kiryung Lee Y. Bresler 24 27 0 30 Nov 2017
Learning Semidefinite Regularizers Yong Sheng Soh V. Chandrasekaran 31 6 0 05 Jan 2017
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds Hongyi Zhang Sashank J. Reddi S. Sra 36 240 0 23 May 2016
First-order Methods for Geodesically Convex Optimization Hongyi Zhang S. Sra 23 286 0 19 Feb 2016
Gradient Descent Converges to Minimizers J. Lee Max Simchowitz Michael I. Jordan Benjamin Recht 32 212 0 16 Feb 2016
Dual Principal Component Pursuit M. Tsakiris René Vidal 26 96 0 15 Oct 2015
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 33 202 0 26 Apr 2015