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Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex
  Relaxation

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation

13 October 2016
S. Bahmani
Justin Romberg
ArXivPDFHTML

Papers citing "Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation"

15 / 15 papers shown
Title
Stochastic Light Field Holography
Stochastic Light Field Holography
Florian Schiffers
Praneeth Chakravarthula
N. Matsuda
Grace Kuo
Ethan Tseng
Douglas Lanman
Felix Heide
O. Cossairt
11
5
0
12 Jul 2023
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
46
4
0
11 Oct 2022
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
44
165
0
15 Dec 2020
Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using
  Deep Generative Models
Deep S3^33PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
Christopher A. Metzler
Gordon Wetzstein
20
11
0
14 Feb 2020
Online Stochastic Gradient Descent with Arbitrary Initialization Solves
  Non-smooth, Non-convex Phase Retrieval
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
Yan Shuo Tan
Roman Vershynin
22
35
0
28 Oct 2019
Complex phase retrieval from subgaussian measurements
Complex phase retrieval from subgaussian measurements
Felix Krahmer
Dominik Stöger
23
17
0
19 Jun 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local
  Minima in Nonconvex Matrix Recovery
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery
Richard Y. Zhang
Somayeh Sojoudi
Javad Lavaei
11
51
0
07 Jan 2019
prDeep: Robust Phase Retrieval with a Flexible Deep Network
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
42
168
0
01 Mar 2018
A Precise Analysis of PhaseMax in Phase Retrieval
A Precise Analysis of PhaseMax in Phase Retrieval
Fariborz Salehi
Ehsan Abbasi
B. Hassibi
14
22
0
20 Jan 2018
Lifting high-dimensional nonlinear models with Gaussian regressors
Lifting high-dimensional nonlinear models with Gaussian regressors
Christos Thrampoulidis
A. S. Rawat
21
8
0
11 Dec 2017
Using Black-box Compression Algorithms for Phase Retrieval
Using Black-box Compression Algorithms for Phase Retrieval
Milad Bakhshizadeh
A. Maleki
S. Jalali
13
8
0
08 Dec 2017
Blind Gain and Phase Calibration via Sparse Spectral Methods
Blind Gain and Phase Calibration via Sparse Spectral Methods
Yanjun Li
Kiryung Lee
Y. Bresler
27
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
34
25
0
29 May 2017
Phase Transitions of Spectral Initialization for High-Dimensional
  Nonconvex Estimation
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation
Yue M. Lu
Gen Li
23
89
0
21 Feb 2017
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Huishuai Zhang
Yuejie Chi
Yingbin Liang
22
55
0
11 Mar 2016
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