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1402.1298
Cited By
Phase transitions and sample complexity in Bayes-optimal matrix factorization
6 February 2014
Y. Kabashima
Florent Krzakala
M. Mézard
A. Sakata
Lenka Zdeborová
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Papers citing
"Phase transitions and sample complexity in Bayes-optimal matrix factorization"
40 / 40 papers shown
Title
Unifying AMP Algorithms for Rotationally-Invariant Models
Songbin Liu
Junjie Ma
72
0
0
02 Dec 2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier
Francesco Camilli
Justin Ko
Koki Okajima
21
5
0
04 Nov 2024
Estimation of embedding vectors in high dimensions
G. A. Azar
M. Emami
A. Fletcher
Sundeep Rangan
19
1
0
12 Dec 2023
The Decimation Scheme for Symmetric Matrix Factorization
Francesco Camilli
Marc Mézard
13
11
0
31 Jul 2023
Approximate Message Passing for the Matrix Tensor Product Model
Riccardo Rossetti
Galen Reeves
11
8
0
27 Jun 2023
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Ryota Kawasumi
K. Takeda
17
1
0
17 May 2023
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
A. Bodin
N. Macris
26
3
0
16 Mar 2023
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?
Jean Barbier
Tianqi Hou
Marco Mondelli
Manuel Sáenz
33
14
0
20 May 2022
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions
Mojtaba Sahraee-Ardakan
M. Emami
Parthe Pandit
S. Rangan
A. Fletcher
20
9
0
20 Jan 2022
Sufficient-Statistic Memory AMP
Lei Liu
Shunqi Huang
YuZhi Yang
Zhaoyang Zhang
B. Kurkoski
11
7
0
31 Dec 2021
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
R. Venkataramanan
Kevin Kögler
Marco Mondelli
11
32
0
08 Dec 2021
Deep learning via message passing algorithms based on belief propagation
C. Lucibello
Fabrizio Pittorino
Gabriele Perugini
R. Zecchina
27
14
0
27 Oct 2021
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
Marco Mondelli
R. Venkataramanan
24
19
0
04 Jun 2021
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
6
18
0
21 Dec 2020
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
Marco Mondelli
R. Venkataramanan
12
37
0
07 Oct 2020
Universality of Approximate Message Passing Algorithms
Wei-Kuo Chen
Wai-Kit Lam
9
35
0
23 Mar 2020
Mean-field inference methods for neural networks
Marylou Gabrié
AI4CE
11
32
0
03 Nov 2019
Approximate matrix completion based on cavity method
Chihiro Noguchi
Y. Kabashima
17
1
0
29 Jun 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation
Luca Saglietti
Yue M. Lu
C. Lucibello
20
11
0
13 May 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
Greg Yang
9
282
0
13 Feb 2019
Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior
Ryota Kawasumi
K. Takeda
14
2
0
14 Mar 2018
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
19
85
0
06 Nov 2017
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval
Marco Mondelli
Andrea Montanari
17
117
0
20 Aug 2017
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel
Florent Krzakala
Eric W. Tramel
Lenka Zdeborová
19
13
0
02 Jun 2017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
32
124
0
03 Jan 2017
An equivalence between high dimensional Bayes optimal inference and M-estimation
Madhu S. Advani
Surya Ganguli
21
16
0
22 Sep 2016
Finite Sample Analysis of Approximate Message Passing Algorithms
Cynthia Rush
R. Venkataramanan
11
58
0
06 Jun 2016
A Note on Alternating Minimization Algorithm for the Matrix Completion Problem
D. Gamarnik
Sidhant Misra
12
18
0
05 Feb 2016
Statistical Mechanics of High-Dimensional Inference
Madhu S. Advani
Surya Ganguli
14
53
0
18 Jan 2016
Statistical physics of inference: Thresholds and algorithms
Lenka Zdeborová
Florent Krzakala
AI4CE
4
419
0
08 Nov 2015
Boolean Matrix Factorization and Noisy Completion via Message Passing
Siamak Ravanbakhsh
Barnabás Póczós
Russell Greiner
14
42
0
28 Sep 2015
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel
T. Lesieur
Florent Krzakala
Lenka Zdeborová
16
107
0
14 Jul 2015
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade
Florent Krzakala
Lenka Zdeborová
16
16
0
10 Jun 2015
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
Andrea Montanari
E. Richard
39
105
0
18 Jun 2014
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning
Florent Krzakala
M. Mézard
Lenka Zdeborová
70
37
0
24 Jan 2013
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton
Tuo Chen
Francis R. Bach
96
49
0
02 Oct 2012
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