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Estimation in Rotationally Invariant Generalized Linear Models via
  Approximate Message Passing

Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing

8 December 2021
R. Venkataramanan
Kevin Kögler
Marco Mondelli
ArXivPDFHTML

Papers citing "Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing"

18 / 18 papers shown
Title
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
Filip Kovačević
Yihan Zhang
Marco Mondelli
70
0
0
03 Feb 2025
Unifying AMP Algorithms for Rotationally-Invariant Models
Unifying AMP Algorithms for Rotationally-Invariant Models
Songbin Liu
Junjie Ma
77
0
0
02 Dec 2024
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant
  Data
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
Kevin Luo
Yufan Li
Pragya Sur
29
3
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
32
2
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
38
3
0
22 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
16
0
0
05 May 2024
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked
  models
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
Pierre Mergny
Justin Ko
Florent Krzakala
33
2
0
06 Mar 2024
Compression of Structured Data with Autoencoders: Provable Benefit of
  Nonlinearities and Depth
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler
A. Shevchenko
Hamed Hassani
Marco Mondelli
MLT
27
0
0
07 Feb 2024
Moment-Based Adjustments of Statistical Inference in High-Dimensional
  Generalized Linear Models
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models
Kazuma Sawaya
Yoshimasa Uematsu
Masaaki Imaizumi
29
2
0
28 May 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Aleksandr Pak
Justin Ko
Florent Krzakala
15
9
0
13 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based
  Generative Models
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models
Xiangming Meng
Y. Kabashima
45
1
0
02 Feb 2023
Approximate Message Passing for Multi-Layer Estimation in Rotationally
  Invariant Models
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models
Yizhou Xu
Tianqi Hou
Shansuo Liang
Marco Mondelli
12
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
23
5
0
03 Oct 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?
Jean Barbier
Tianqi Hou
Marco Mondelli
Manuel Sáenz
41
14
0
20 May 2022
Sufficient-Statistic Memory AMP
Sufficient-Statistic Memory AMP
Lei Liu
Shunqi Huang
YuZhi Yang
Zhaoyang Zhang
B. Kurkoski
16
7
0
31 Dec 2021
Towards Designing Optimal Sensing Matrices for Generalized Linear
  Inverse Problems
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems
Junjie Ma
Ji Xu
A. Maleki
13
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
29
20
0
05 Oct 2021
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
29
12
0
24 Aug 2020
1