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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"

24 / 24 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
40
34
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
13
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
23
1
0
30 May 2023
Learning Trees of $\ell_0$-Minimization Problems
Learning Trees of ℓ0\ell_0ℓ0​-Minimization Problems
G. Welper
18
0
0
06 Feb 2023
Decentralized Nonconvex Optimization with Guaranteed Privacy and
  Accuracy
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy
Yongqiang Wang
Tamer Basar
16
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
Y. 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
15
41
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
39
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
34
416
0
24 Nov 2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Guangcan Liu
AI4TS
24
12
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
18
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
20
9
0
05 Dec 2019
Global Optimality Guarantees For Policy Gradient Methods
Global Optimality Guarantees For Policy Gradient Methods
Jalaj Bhandari
Daniel Russo
35
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
13
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
18
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
19
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
26
12
0
29 Aug 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
20
17
0
20 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
19
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
Learning Semidefinite Regularizers
Learning Semidefinite Regularizers
Yong Sheng Soh
V. Chandrasekaran
18
6
0
05 Jan 2017
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
31
202
0
26 Apr 2015
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