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Approximate Message Passing algorithms for rotationally invariant
  matrices
v1v2v3v4v5 (latest)

Approximate Message Passing algorithms for rotationally invariant matrices

Annals of Statistics (Ann. Stat.), 2020
27 August 2020
Z. Fan
ArXiv (abs)PDFHTML

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

34 / 34 papers shown
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Anvit Garg
Sohom Bhattacharya
Pragya Sur
209
3
0
26 Sep 2025
Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
Galen Reeves
224
2
0
14 Aug 2025
Certified Data Removal Under High-dimensional Settings
Certified Data Removal Under High-dimensional Settings
Haolin Zou
Arnab Auddy
Yongchan Kwon
Kamiar Rahnama Rad
A. Maleki
MU
341
5
0
12 May 2025
Unifying AMP Algorithms for Rotationally-Invariant Models
Unifying AMP Algorithms for Rotationally-Invariant Models
Songbin Liu
Junjie Ma
493
2
0
02 Dec 2024
Universality of Estimator for High-Dimensional Linear Models with Block
  Dependency
Universality of Estimator for High-Dimensional Linear Models with Block Dependency
Toshiki Tsuda
Masaaki Imaizumi
261
0
0
25 Oct 2024
Sampling from the Random Linear Model via Stochastic Localization Up to
  the AMP Threshold
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
Han Cui
Zhiyuan Yu
Jingbo Liu
352
3
0
15 Jul 2024
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Kevin Luo
Yufan Li
Pragya Sur
478
5
0
17 Jun 2024
Information limits and Thouless-Anderson-Palmer equations for spiked
  matrix models with structured noise
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Jean Barbier
Francesco Camilli
Marco Mondelli
Yizhou Xu
354
4
0
31 May 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits
  and Optimal Spectral Methods
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang
Marco Mondelli
305
6
0
22 May 2024
Linear Operator Approximate Message Passing (OpAMP)
Linear Operator Approximate Message Passing (OpAMP)
Riccardo Rossetti
B. Nazer
Galen Reeves
252
3
0
13 May 2024
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
Jingbo Liu
280
0
0
05 May 2024
Theoretical Analysis of Leave-one-out Cross Validation for
  Non-differentiable Penalties under High-dimensional Settings
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
Haolin Zou
Arnab Auddy
Kamiar Rahnama Rad
A. Maleki
391
5
0
13 Feb 2024
Mixed Regression via Approximate Message Passing
Mixed Regression via Approximate Message PassingJournal of machine learning research (JMLR), 2023
Nelvin Tan
R. Venkataramanan
346
8
0
05 Apr 2023
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​ synchronizationProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
Gen Li
Wei Fan
Yuting Wei
346
18
0
07 Feb 2023
Mismatched estimation of non-symmetric rank-one matrices corrupted by
  structured noise
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noiseInternational Symposium on Information Theory (ISIT), 2023
Teng Fu
Yuhao Liu
Jean Barbier
Marco Mondelli
Shansuo Liang
Tianqi Hou
259
2
0
07 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based
  Generative Models
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiangming Meng
Y. Kabashima
518
2
0
02 Feb 2023
Equivalence of Approximate Message Passing and Low-Degree Polynomials in
  Rank-One Matrix Estimation
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix EstimationProbability theory and related fields (PTRF), 2022
Andrea Montanari
Alexander S. Wein
267
36
0
14 Dec 2022
Approximate Message Passing for Multi-Layer Estimation in Rotationally
  Invariant Models
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant ModelsInformation Theory Workshop (ITW), 2022
Yizhou Xu
Tianqi Hou
Shansuo Liang
Marco Mondelli
260
4
0
03 Dec 2022
Bayes-optimal limits in structured PCA, and how to reach them
Bayes-optimal limits in structured PCA, and how to reach them
Jean Barbier
Francesco Camilli
Marco Mondelli
Manuel Sáenz
363
6
0
03 Oct 2022
Sufficient Statistic Memory Approximate Message Passing
Sufficient Statistic Memory Approximate Message PassingInternational Symposium on Information Theory (ISIT), 2022
Lei Liu
Shunqi Huang
B. Kurkoski
177
12
0
23 Jun 2022
The price of ignorance: how much does it cost to forget noise structure
  in low-rank matrix estimation?
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?Neural Information Processing Systems (NeurIPS), 2022
Jean Barbier
Tianqi Hou
Marco Mondelli
Manuel Sáenz
439
21
0
20 May 2022
Sufficient-Statistic Memory AMP
Sufficient-Statistic Memory AMP
Lei Liu
Shunqi Huang
YuZhi Yang
Zhaoyang Zhang
B. Kurkoski
569
7
0
31 Dec 2021
Estimation in Rotationally Invariant Generalized Linear Models via
  Approximate Message Passing
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
R. Venkataramanan
Kevin Kögler
Marco Mondelli
344
35
0
08 Dec 2021
Towards Designing Optimal Sensing Matrices for Generalized Linear
  Inverse Problems
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse ProblemsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Junjie Ma
Ji Xu
A. Maleki
385
3
0
05 Nov 2021
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
322
26
0
05 Oct 2021
Graph-based Approximate Message Passing Iterations
Graph-based Approximate Message Passing Iterations
Cédric Gerbelot
Raphael Berthier
342
61
0
24 Sep 2021
PCA Initialization for Approximate Message Passing in Rotationally
  Invariant Models
PCA Initialization for Approximate Message Passing in Rotationally Invariant ModelsNeural Information Processing Systems (NeurIPS), 2021
Marco Mondelli
R. Venkataramanan
426
21
0
04 Jun 2021
Memory Approximate Message Passing
Memory Approximate Message PassingInternational Symposium on Information Theory (ISIT), 2021
Lei Liu
Shunqi Huang
B. Kurkoski
186
29
0
04 Jun 2021
The replica-symmetric free energy for Ising spin glasses with
  orthogonally invariant couplings
The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplingsProbability theory and related fields (PTRF), 2021
Z. Fan
Yihong Wu
391
16
0
06 May 2021
Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on
  Gaussian and Random Orthogonal Ensembles
Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal EnsemblesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Yue M. Lu
336
17
0
19 Jan 2021
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
600
26
0
21 Dec 2020
Memory AMP
Memory AMPIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Lei Liu
Shunqi Huang
B. Kurkoski
1.0K
81
0
20 Dec 2020
Approximate Message Passing with Spectral Initialization for Generalized
  Linear Models
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
Marco Mondelli
R. Venkataramanan
383
46
0
07 Oct 2020
Universality of Linearized Message Passing for Phase Retrieval with
  Structured Sensing Matrices
Universality of Linearized Message Passing for Phase Retrieval with Structured Sensing Matrices
Rishabh Dudeja
Milad Bakhshizadeh
474
13
0
24 Aug 2020
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