ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1402.1298
  4. Cited By
Phase transitions and sample complexity in Bayes-optimal matrix
  factorization

Phase transitions and sample complexity in Bayes-optimal matrix factorization

6 February 2014
Y. Kabashima
Florent Krzakala
M. Mézard
A. Sakata
Lenka Zdeborová
ArXivPDFHTML

Papers citing "Phase transitions and sample complexity in Bayes-optimal matrix factorization"

40 / 40 papers shown
Title
Unifying AMP Algorithms for Rotationally-Invariant Models
Unifying AMP Algorithms for Rotationally-Invariant Models
Songbin Liu
Junjie Ma
82
0
0
02 Dec 2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
37
5
0
04 Nov 2024
Estimation of embedding vectors in high dimensions
Estimation of embedding vectors in high dimensions
G. A. Azar
M. Emami
A. Fletcher
Sundeep Rangan
32
1
0
12 Dec 2023
The Decimation Scheme for Symmetric Matrix Factorization
The Decimation Scheme for Symmetric Matrix Factorization
Francesco Camilli
Marc Mézard
15
12
0
31 Jul 2023
Approximate Message Passing for the Matrix Tensor Product Model
Approximate Message Passing for the Matrix Tensor Product Model
Riccardo Rossetti
Galen Reeves
19
8
0
27 Jun 2023
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Ryota Kawasumi
K. Takeda
24
1
0
17 May 2023
Mixed Regression via Approximate Message Passing
Mixed Regression via Approximate Message Passing
Nelvin Tan
R. Venkataramanan
19
7
0
05 Apr 2023
Gradient flow on extensive-rank positive semi-definite matrix denoising
Gradient flow on extensive-rank positive semi-definite matrix denoising
A. Bodin
N. Macris
34
3
0
16 Mar 2023
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
31
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
47
14
0
20 May 2022
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High
  Dimensions
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions
Mojtaba Sahraee-Ardakan
M. Emami
Parthe Pandit
S. Rangan
A. Fletcher
41
9
0
20 Jan 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
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
27
32
0
08 Dec 2021
Deep learning via message passing algorithms based on belief propagation
Deep learning via message passing algorithms based on belief propagation
C. Lucibello
Fabrizio Pittorino
Gabriele Perugini
R. Zecchina
43
14
0
27 Oct 2021
Statistical limits of dictionary learning: random matrix theory and the
  spectral replica method
Statistical limits of dictionary learning: random matrix theory and the spectral replica method
Jean Barbier
N. Macris
39
24
0
14 Sep 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
24
19
0
04 Jun 2021
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
21
19
0
21 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
20
38
0
07 Oct 2020
Universality of Approximate Message Passing Algorithms
Universality of Approximate Message Passing Algorithms
Wei-Kuo Chen
Wai-Kit Lam
14
35
0
23 Mar 2020
Mean-field inference methods for neural networks
Mean-field inference methods for neural networks
Marylou Gabrié
AI4CE
16
33
0
03 Nov 2019
Approximate matrix completion based on cavity method
Approximate matrix completion based on cavity method
Chihiro Noguchi
Y. Kabashima
22
1
0
29 Jun 2019
Generalized Approximate Survey Propagation for High-Dimensional
  Estimation
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Luca Saglietti
Yue M. Lu
C. Lucibello
28
11
0
13 May 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian
  Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
11
284
0
13 Feb 2019
Approximate Method of Variational Bayesian Matrix
  Factorization/Completion with Sparse Prior
Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior
Ryota Kawasumi
K. Takeda
22
2
0
14 Mar 2018
Estimation of Low-Rank Matrices via Approximate Message Passing
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
35
85
0
06 Nov 2017
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval
Marco Mondelli
Andrea Montanari
33
119
0
20 Aug 2017
Streaming Bayesian inference: theoretical limits and mini-batch
  approximate message-passing
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel
Florent Krzakala
Eric W. Tramel
Lenka Zdeborová
29
13
0
02 Jun 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
34
124
0
03 Jan 2017
An equivalence between high dimensional Bayes optimal inference and
  M-estimation
An equivalence between high dimensional Bayes optimal inference and M-estimation
Madhu S. Advani
Surya Ganguli
26
16
0
22 Sep 2016
Finite Sample Analysis of Approximate Message Passing Algorithms
Finite Sample Analysis of Approximate Message Passing Algorithms
Cynthia Rush
R. Venkataramanan
31
58
0
06 Jun 2016
A Note on Alternating Minimization Algorithm for the Matrix Completion
  Problem
A Note on Alternating Minimization Algorithm for the Matrix Completion Problem
D. Gamarnik
Sidhant Misra
25
18
0
05 Feb 2016
Statistical Mechanics of High-Dimensional Inference
Statistical Mechanics of High-Dimensional Inference
Madhu S. Advani
Surya Ganguli
22
53
0
18 Jan 2016
Statistical physics of inference: Thresholds and algorithms
Statistical physics of inference: Thresholds and algorithms
Lenka Zdeborová
Florent Krzakala
AI4CE
6
421
0
08 Nov 2015
Boolean Matrix Factorization and Noisy Completion via Message Passing
Boolean Matrix Factorization and Noisy Completion via Message Passing
Siamak Ravanbakhsh
Barnabás Póczós
Russell Greiner
16
41
0
28 Sep 2015
MMSE of probabilistic low-rank matrix estimation: Universality with
  respect to the output channel
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel
T. Lesieur
Florent Krzakala
Lenka Zdeborová
26
107
0
14 Jul 2015
Matrix Completion from Fewer Entries: Spectral Detectability and Rank
  Estimation
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade
Florent Krzakala
Lenka Zdeborová
29
16
0
10 Jun 2015
Phase Transitions in Sparse PCA
Phase Transitions in Sparse PCA
T. Lesieur
Florent Krzakala
Lenka Zdeborova
29
81
0
01 Mar 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
39
106
0
18 Jun 2014
Phase Diagram and Approximate Message Passing for Blind Calibration and
  Dictionary Learning
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning
Florent Krzakala
M. Mézard
Lenka Zdeborová
75
37
0
24 Jan 2013
Local stability and robustness of sparse dictionary learning in the
  presence of noise
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton
Tuo Chen
Francis R. Bach
103
49
0
02 Oct 2012
1