ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.03607
  4. Cited By
Complete Dictionary Recovery over the Sphere I: Overview and the
  Geometric Picture

Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture

11 November 2015
Ju Sun
Qing Qu
John N. Wright
ArXivPDFHTML

Papers citing "Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture"

31 / 31 papers shown
Title
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
G. Zhang
S. Fattahi
Richard Y. Zhang
45
36
0
13 Apr 2025
Optimal vintage factor analysis with deflation varimax
Optimal vintage factor analysis with deflation varimax
Xin Bing
Dian Jin
Yuqian Zhang
Yuqian Zhang
27
1
0
16 Oct 2023
Gradient descent in matrix factorization: Understanding large
  initialization
Gradient descent in matrix factorization: Understanding large initialization
Hengchao Chen
Xin Chen
Mohamad Elmasri
Qiang Sun
AI4CE
31
1
0
30 May 2023
Learning Trees of $\ell_0$-Minimization Problems
Learning Trees of ℓ0\ell_0ℓ0​-Minimization Problems
G. Welper
21
0
0
06 Feb 2023
Optimal Regularization for a Data Source
Optimal Regularization for a Data Source
Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
V. Chandrasekaran
25
4
0
27 Dec 2022
Decentralized Nonconvex Optimization with Guaranteed Privacy and
  Accuracy
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy
Yongqiang Wang
Tamer Basar
26
21
0
14 Dec 2022
Revisiting Sparse Convolutional Model for Visual Recognition
Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Yi Ma
FAtt
35
27
0
24 Oct 2022
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
Geyu Liang
G. Zhang
S. Fattahi
Richard Y. Zhang
15
5
0
23 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the
  Riemannian Manifold
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
Signal Recovery with Non-Expansive Generative Network Priors
Signal Recovery with Non-Expansive Generative Network Priors
Jorio Cocola
21
1
0
24 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
47
11
0
25 Mar 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
43
417
0
24 Nov 2021
Understanding approximate and unrolled dictionary learning for pattern
  recovery
Understanding approximate and unrolled dictionary learning for pattern recovery
Benoit Malézieux
Thomas Moreau
M. Kowalski
MU
22
10
0
11 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
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
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Guangcan Liu
AI4TS
34
13
0
23 Apr 2021
Provable Representation Learning for Imitation Learning via Bi-level
  Optimization
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
23
60
0
24 Feb 2020
Analysis of the Optimization Landscapes for Overcomplete Representation
  Learning
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
Global Optimality Guarantees For Policy Gradient Methods
Global Optimality Guarantees For Policy Gradient Methods
Jalaj Bhandari
Daniel Russo
37
185
0
05 Jun 2019
Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary
  Learning
Unique Sharp Local Minimum in ℓ1\ell_1ℓ1​-minimization Complete Dictionary Learning
Yu Wang
Siqi Wu
Bin Yu
20
5
0
22 Feb 2019
A Deterministic Gradient-Based Approach to Avoid Saddle Points
A Deterministic Gradient-Based Approach to Avoid Saddle Points
L. Kreusser
Stanley J. Osher
Bao Wang
ODL
32
3
0
21 Jan 2019
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
Yuqian Zhang
Yenson Lau
Han-Wen Kuo
S. Cheung
A. Pasupathy
John N. Wright
24
49
0
07 Jan 2019
Diffusion Approximations for Online Principal Component Estimation and
  Global Convergence
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
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
Improved Learning of One-hidden-layer Convolutional Neural Networks with
  Overlaps
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
S. Du
Surbhi Goel
MLT
30
17
0
20 May 2018
Dictionary Learning and Sparse Coding on Statistical Manifolds
Dictionary Learning and Sparse Coding on Statistical Manifolds
Rudrasis Chakraborty
Monami Banerjee
B. Vemuri
9
0
0
03 May 2018
Blind Gain and Phase Calibration via Sparse Spectral Methods
Blind Gain and Phase Calibration via Sparse Spectral Methods
Yanjun Li
Kiryung Lee
Y. Bresler
24
27
0
30 Nov 2017
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d)
  Lower Bound for Eigenvector Approximation
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation
Max Simchowitz
A. Alaoui
Benjamin Recht
18
13
0
14 Apr 2017
How to Escape Saddle Points Efficiently
How to Escape Saddle Points Efficiently
Chi Jin
Rong Ge
Praneeth Netrapalli
Sham Kakade
Michael I. Jordan
ODL
37
831
0
02 Mar 2017
Learning Semidefinite Regularizers
Learning Semidefinite Regularizers
Yong Sheng Soh
V. Chandrasekaran
31
6
0
05 Jan 2017
Dual Principal Component Pursuit
Dual Principal Component Pursuit
M. Tsakiris
René Vidal
26
96
0
15 Oct 2015
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
33
202
0
26 Apr 2015
1