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A Geometric Analysis of Phase Retrieval

A Geometric Analysis of Phase Retrieval

22 February 2016
Ju Sun
Qing Qu
John N. Wright
ArXivPDFHTML

Papers citing "A Geometric Analysis of Phase Retrieval"

17 / 67 papers shown
Title
Smoothed analysis for low-rank solutions to semidefinite programs in
  quadratic penalty form
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Srinadh Bhojanapalli
Nicolas Boumal
Prateek Jain
Praneeth Netrapalli
23
42
0
01 Mar 2018
Stochastic Variance-Reduced Cubic Regularization for Nonconvex
  Optimization
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
Zhe Wang
Yi Zhou
Yingbin Liang
Guanghui Lan
32
46
0
20 Feb 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
Solving Almost all Systems of Random Quadratic Equations
Solving Almost all Systems of Random Quadratic Equations
G. Wang
G. Giannakis
Y. Saad
Jie Chen
26
25
0
29 May 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
Convergence Results for Neural Networks via Electrodynamics
Convergence Results for Neural Networks via Electrodynamics
Rina Panigrahy
Sushant Sachdeva
Qiuyi Zhang
MLT
MDE
24
22
0
01 Feb 2017
Learning Semidefinite Regularizers
Learning Semidefinite Regularizers
Yong Sheng Soh
V. Chandrasekaran
27
6
0
05 Jan 2017
The Power of Normalization: Faster Evasion of Saddle Points
The Power of Normalization: Faster Evasion of Saddle Points
Kfir Y. Levy
17
108
0
15 Nov 2016
Homotopy Analysis for Tensor PCA
Homotopy Analysis for Tensor PCA
Anima Anandkumar
Yuan-bei Deng
Rong Ge
H. Mobahi
30
43
0
28 Oct 2016
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex
  Relaxation
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
S. Bahmani
J. Romberg
19
120
0
13 Oct 2016
Non-square matrix sensing without spurious local minima via the
  Burer-Monteiro approach
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park
Anastasios Kyrillidis
C. Caramanis
Sujay Sanghavi
15
179
0
12 Sep 2016
Global Optimality of Local Search for Low Rank Matrix Recovery
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
ODL
14
386
0
23 May 2016
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Huishuai Zhang
Yuejie Chi
Yingbin Liang
14
55
0
11 Mar 2016
Gradient Descent Converges to Minimizers
Gradient Descent Converges to Minimizers
J. Lee
Max Simchowitz
Michael I. Jordan
Benjamin Recht
24
211
0
16 Feb 2016
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
19
172
0
14 Sep 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
Finding a sparse vector in a subspace: Linear sparsity using alternating
  directions
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
14
111
0
15 Dec 2014
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