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Approximate Message Passing algorithms for rotationally invariant
  matrices

Approximate Message Passing algorithms for rotationally invariant matrices

27 August 2020
Z. Fan
ArXivPDFHTML

Papers citing "Approximate Message Passing algorithms for rotationally invariant matrices"

22 / 22 papers shown
Title
A unifying tutorial on Approximate Message Passing
A unifying tutorial on Approximate Message Passing
Oliver Y. Feng
R. Venkataramanan
Cynthia Rush
R. Samworth
27
86
0
05 May 2021
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann
  Machines
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines
Burak Çakmak
Manfred Opper
AI4CE
36
11
0
04 May 2020
Universality of Approximate Message Passing Algorithms
Universality of Approximate Message Passing Algorithms
Wei-Kuo Chen
Wai-Kit Lam
39
35
0
23 Mar 2020
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate
  Message Passing
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu
Jason M. Klusowski
Cynthia Rush
Weijie Su
48
43
0
17 Jul 2019
Memory-free dynamics for the TAP equations of Ising models with
  arbitrary rotation invariant ensembles of random coupling matrices
Memory-free dynamics for the TAP equations of Ising models with arbitrary rotation invariant ensembles of random coupling matrices
Burak Çakmak
Manfred Opper
24
20
0
24 Jan 2019
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
47
287
0
19 Mar 2018
Estimation of Low-Rank Matrices via Approximate Message Passing
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
49
86
0
06 Nov 2017
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is
  Asymptotically a Rescaled Chi-Square
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square
Pragya Sur
Yuxin Chen
Emmanuel J. Candès
46
81
0
05 Jun 2017
Learned D-AMP: Principled Neural Network based Compressive Image
  Recovery
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler
Ali Mousavi
Richard G. Baraniuk
48
285
0
21 Apr 2017
Message-passing algorithms for synchronization problems over compact
  groups
Message-passing algorithms for synchronization problems over compact groups
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
58
83
0
14 Oct 2016
Onsager-corrected deep learning for sparse linear inverse problems
Onsager-corrected deep learning for sparse linear inverse problems
M. Borgerding
Philip Schniter
53
92
0
20 Jul 2016
Mutual information for symmetric rank-one matrix estimation: A proof of
  the replica formula
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Jean Barbier
M. Dia
N. Macris
Florent Krzakala
T. Lesieur
Lenka Zdeborova
61
172
0
13 Jun 2016
Expectation Consistent Approximate Inference: Generalizations and
  Convergence
Expectation Consistent Approximate Inference: Generalizations and Convergence
A. Fletcher
Mojtaba Sahraee-Ardakan
S. Rangan
P. Schniter
21
69
0
25 Feb 2016
False Discoveries Occur Early on the Lasso Path
False Discoveries Occur Early on the Lasso Path
Weijie Su
M. Bogdan
Emmanuel Candes
109
180
0
05 Nov 2015
Consistent Parameter Estimation for LASSO and Approximate Message
  Passing
Consistent Parameter Estimation for LASSO and Approximate Message Passing
Ali Mousavi
A. Maleki
Richard G. Baraniuk
40
58
0
03 Nov 2015
Non-negative Principal Component Analysis: Message Passing Algorithms
  and Sharp Asymptotics
Non-negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics
Andrea Montanari
E. Richard
63
106
0
18 Jun 2014
Information-theoretically Optimal Sparse PCA
Information-theoretically Optimal Sparse PCA
Y. Deshpande
Andrea Montanari
62
140
0
10 Feb 2014
High Dimensional Robust M-Estimation: Asymptotic Variance via
  Approximate Message Passing
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing
D. Donoho
Andrea Montanari
146
221
0
28 Oct 2013
State Evolution for General Approximate Message Passing Algorithms, with
  Applications to Spatial Coupling
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
Adel Javanmard
Andrea Montanari
61
261
0
21 Nov 2012
Information-Theoretically Optimal Compressed Sensing via Spatial
  Coupling and Approximate Message Passing
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing
D. Donoho
Adel Javanmard
Andrea Montanari
145
200
0
04 Dec 2011
The LASSO risk for gaussian matrices
The LASSO risk for gaussian matrices
Mohsen Bayati
Andrea Montanari
139
317
0
16 Aug 2010
Message Passing Algorithms for Compressed Sensing
Message Passing Algorithms for Compressed Sensing
D. Donoho
A. Maleki
Andrea Montanari
100
2,352
0
21 Jul 2009
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