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Approximate message passing from random initialization with applications
  to $\mathbb{Z}_{2}$ synchronization

Approximate message passing from random initialization with applications to Z2\mathbb{Z}_{2}Z2​ synchronization

7 February 2023
Gen Li
Wei Fan
Yuting Wei
ArXivPDFHTML

Papers citing "Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization"

41 / 41 papers shown
Title
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
106
0
0
02 Jan 2024
A Non-asymptotic Analysis of Generalized Approximate Message Passing
  Algorithms with Right Rotationally Invariant Designs
A Non-asymptotic Analysis of Generalized Approximate Message Passing Algorithms with Right Rotationally Invariant Designs
Collin Cademartori
Cynthia Rush
22
5
0
31 Jan 2023
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear
  Models
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
Yihan Zhang
Marco Mondelli
R. Venkataramanan
27
7
0
21 Nov 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Yuchen Wu
Kangjie Zhou
131
6
0
07 Nov 2022
Approximate Message Passing for orthogonally invariant ensembles:
  Multivariate non-linearities and spectral initialization
Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization
Xinyi Zhong
Tianhao Wang
Zhou-Yang Fan
59
20
0
05 Oct 2021
Inference for Heteroskedastic PCA with Missing Data
Inference for Heteroskedastic PCA with Missing Data
Yuling Yan
Yuxin Chen
Jianqing Fan
80
18
0
26 Jul 2021
Local convexity of the TAP free energy and AMP convergence for
  Z2-synchronization
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Michael Celentano
Z. Fan
Song Mei
FedML
63
22
0
21 Jun 2021
PCA Initialization for Approximate Message Passing in Rotationally
  Invariant Models
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
Marco Mondelli
R. Venkataramanan
60
19
0
04 Jun 2021
A unifying tutorial on Approximate Message Passing
A unifying tutorial on Approximate Message Passing
Oliver Y. Feng
R. Venkataramanan
Cynthia Rush
R. Samworth
37
87
0
05 May 2021
SDP Achieves Exact Minimax Optimality in Phase Synchronization
SDP Achieves Exact Minimax Optimality in Phase Synchronization
Chao Gao
A. Zhang
51
8
0
07 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
96
172
0
15 Dec 2020
Approximate Message Passing algorithms for rotationally invariant
  matrices
Approximate Message Passing algorithms for rotationally invariant matrices
Z. Fan
20
69
0
27 Aug 2020
The Lasso with general Gaussian designs with applications to hypothesis
  testing
The Lasso with general Gaussian designs with applications to hypothesis testing
Michael Celentano
Andrea Montanari
Yuting Wei
75
64
0
27 Jul 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
53
43
0
17 Jul 2019
Fundamental Barriers to High-Dimensional Regression with Convex
  Penalties
Fundamental Barriers to High-Dimensional Regression with Convex Penalties
Michael Celentano
Andrea Montanari
70
47
0
25 Mar 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex
  Relaxation via Nonconvex Optimization
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
Yuling Yan
46
128
0
20 Feb 2019
Computational Hardness of Certifying Bounds on Constrained PCA Problems
Computational Hardness of Certifying Bounds on Constrained PCA Problems
Afonso S. Bandeira
Dmitriy Kunisky
Alexander S. Wein
49
64
0
19 Feb 2019
The distribution of the Lasso: Uniform control over sparse balls and
  adaptive parameter tuning
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning
Léo Miolane
Andrea Montanari
78
93
0
03 Nov 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
58
425
0
25 Sep 2018
TAP free energy, spin glasses, and variational inference
TAP free energy, spin glasses, and variational inference
Z. Fan
Song Mei
Andrea Montanari
31
26
0
23 Aug 2018
Gradient Descent with Random Initialization: Fast Global Convergence for
  Nonconvex Phase Retrieval
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
71
237
0
21 Mar 2018
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
51
288
0
19 Mar 2018
Optimization-based AMP for Phase Retrieval: The Impact of Initialization
  and $\ell_2$-regularization
Optimization-based AMP for Phase Retrieval: The Impact of Initialization and ℓ2\ell_2ℓ2​-regularization
Junjie Ma
Ji Xu
A. Maleki
71
54
0
03 Jan 2018
Implicit Regularization in Nonconvex Statistical Estimation: Gradient
  Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind
  Deconvolution
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Cong Ma
Kaizheng Wang
Yuejie Chi
Yuxin Chen
98
241
0
28 Nov 2017
Estimation of Low-Rank Matrices via Approximate Message Passing
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
62
86
0
06 Nov 2017
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
108
250
0
27 Sep 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
49
81
0
05 Jun 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified
  Geometric Analysis
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge
Chi Jin
Yi Zheng
115
436
0
03 Apr 2017
The geometry of hypothesis testing over convex cones: Generalized
  likelihood tests and minimax radii
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
Yuting Wei
Martin J. Wainwright
Adityanand Guntuboyina
57
21
0
20 Mar 2017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate
  Message Passing and Applications
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
111
127
0
03 Jan 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
90
84
0
14 Oct 2016
The Projected Power Method: An Efficient Algorithm for Joint Alignment
  from Pairwise Differences
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen
Emmanuel Candes
276
92
0
19 Sep 2016
Finite Sample Analysis of Approximate Message Passing Algorithms
Finite Sample Analysis of Approximate Message Passing Algorithms
Cynthia Rush
R. Venkataramanan
60
59
0
06 Jun 2016
Rate-Optimal Perturbation Bounds for Singular Subspaces with
  Applications to High-Dimensional Statistics
Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Statistics
T. Tony Cai
Anru R. Zhang
59
156
0
02 May 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions
Precise Error Analysis of Regularized M-estimators in High-dimensions
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
180
220
0
23 Jan 2016
Fast low-rank estimation by projected gradient descent: General
  statistical and algorithmic guarantees
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
174
318
0
10 Sep 2015
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
213
221
0
28 Oct 2013
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
104
284
0
23 Feb 2012
The LASSO risk for gaussian matrices
The LASSO risk for gaussian matrices
Mohsen Bayati
Andrea Montanari
186
318
0
16 Aug 2010
Message Passing Algorithms for Compressed Sensing
Message Passing Algorithms for Compressed Sensing
D. Donoho
A. Maleki
Andrea Montanari
104
2,356
0
21 Jul 2009
Matrix Completion from Noisy Entries
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
260
718
0
11 Jun 2009
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