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. 1701.00858
  4. Cited By
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate
  Message Passing and Applications
v1v2v3 (latest)

Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications

3 January 2017
T. Lesieur
Florent Krzakala
Lenka Zdeborová
ArXiv (abs)PDFHTML

Papers citing "Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications"

49 / 49 papers shown
Title
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
136
7
0
04 Nov 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study
Tomoyuki Obuchi
Toshiyuki Tanaka
132
0
0
09 Sep 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
239
0
0
13 Aug 2024
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Pierre Mergny
Justin Ko
Florent Krzakala
Lenka Zdeborová
84
3
0
07 Mar 2024
Estimation of embedding vectors in high dimensions
Estimation of embedding vectors in high dimensions
G. A. Azar
M. Emami
A. Fletcher
Sundeep Rangan
70
1
0
12 Dec 2023
Sampling with flows, diffusion and autoregressive neural networks: A
  spin-glass perspective
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
Davide Ghio
Yatin Dandi
Florent Krzakala
Lenka Zdeborová
DiffM
69
29
0
27 Aug 2023
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Ryota Kawasumi
K. Takeda
62
1
0
17 May 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Aleksandr Pak
Justin Ko
Florent Krzakala
54
10
0
13 Feb 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​ synchronization
Gen Li
Wei Fan
Yuting Wei
95
12
0
07 Feb 2023
Disordered Systems Insights on Computational Hardness
Disordered Systems Insights on Computational Hardness
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
84
36
0
15 Oct 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
64
5
0
03 Oct 2022
The planted XY model: thermodynamics and inference
The planted XY model: thermodynamics and inference
Siyu Chen
G. Huang
Giovanni Piccioli
Lenka Zdeborová
52
0
0
12 Aug 2022
Subspace clustering in high-dimensions: Phase transitions &
  Statistical-to-Computational gap
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
102
1
0
26 May 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
104
15
0
20 May 2022
Emergent Instabilities in Algorithmic Feedback Loops
Emergent Instabilities in Algorithmic Feedback Loops
Keith Burghardt
Kristina Lerman
45
1
0
18 Jan 2022
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
79
33
0
08 Dec 2021
Graph-based Approximate Message Passing Iterations
Graph-based Approximate Message Passing Iterations
Cédric Gerbelot
Raphael Berthier
86
49
0
24 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
94
20
0
04 Jun 2021
Bayesian reconstruction of memories stored in neural networks from their
  connectivity
Bayesian reconstruction of memories stored in neural networks from their connectivity
Sebastian Goldt
Florent Krzakala
Lenka Zdeborová
Nicolas Brunel
54
4
0
16 May 2021
High-dimensional inference: a statistical mechanics perspective
High-dimensional inference: a statistical mechanics perspective
Jean Barbier
AI4CE
60
5
0
28 Oct 2020
Optimal Combination of Linear and Spectral Estimators for Generalized
  Linear Models
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
Marco Mondelli
Christos Thrampoulidis
R. Venkataramanan
77
17
0
07 Aug 2020
The All-or-Nothing Phenomenon in Sparse Tensor PCA
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed
Ilias Zadik
70
18
0
22 Jul 2020
Free Energy Wells and Overlap Gap Property in Sparse PCA
Free Energy Wells and Overlap Gap Property in Sparse PCA
Gerard Ben Arous
Alexander S. Wein
Ilias Zadik
73
34
0
18 Jun 2020
All-or-nothing statistical and computational phase transitions in sparse
  spiked matrix estimation
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
Cynthia Rush
76
36
0
14 Jun 2020
Information-Theoretic Limits for the Matrix Tensor Product
Information-Theoretic Limits for the Matrix Tensor Product
Galen Reeves
83
30
0
22 May 2020
Information-theoretic limits of a multiview low-rank symmetric spiked
  matrix model
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model
Jean Barbier
Galen Reeves
102
14
0
16 May 2020
Universality of Approximate Message Passing Algorithms
Universality of Approximate Message Passing Algorithms
Wei-Kuo Chen
Wai-Kit Lam
66
36
0
23 Mar 2020
Thresholds of descending algorithms in inference problems
Thresholds of descending algorithms in inference problems
Stefano Sarao Mannelli
Lenka Zdeborova
AI4CE
62
4
0
02 Jan 2020
Mutual Information in Community Detection with Covariate Information and
  Correlated Networks
Mutual Information in Community Detection with Covariate Information and Correlated Networks
Vaishakhi Mayya
Galen Reeves
68
22
0
11 Dec 2019
0-1 phase transitions in sparse spiked matrix estimation
0-1 phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
89
15
0
12 Nov 2019
Mean-field inference methods for neural networks
Mean-field inference methods for neural networks
Marylou Gabrié
AI4CE
127
33
0
03 Nov 2019
The Overlap Gap Property in Principal Submatrix Recovery
The Overlap Gap Property in Principal Submatrix Recovery
D. Gamarnik
Aukosh Jagannath
S. Sen
62
29
0
26 Aug 2019
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting
Marc Lelarge
Léo Miolane
64
29
0
08 Jul 2019
The Geometry of Community Detection via the MMSE Matrix
The Geometry of Community Detection via the MMSE Matrix
Galen Reeves
Vaishakhi Mayya
A. Volfovsky
73
15
0
04 Jul 2019
The spiked matrix model with generative priors
The spiked matrix model with generative priors
Benjamin Aubin
Bruno Loureiro
Antoine Maillard
Florent Krzakala
Lenka Zdeborová
91
53
0
29 May 2019
Passed & Spurious: Descent Algorithms and Local Minima in Spiked
  Matrix-Tensor Models
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
Stefano Sarao Mannelli
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
100
50
0
01 Feb 2019
Statistical thresholds for Tensor PCA
Statistical thresholds for Tensor PCA
Aukosh Jagannath
P. Lopatto
Léo Miolane
62
44
0
08 Dec 2018
Statistical mechanics of low-rank tensor decomposition
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon
Surya Ganguli
60
21
0
23 Oct 2018
Adapting to Unknown Noise Distribution in Matrix Denoising
Adapting to Unknown Noise Distribution in Matrix Denoising
Andrea Montanari
Feng Ruan
Jun Yan
100
13
0
06 Oct 2018
Stochastic Block Model for Hypergraphs: Statistical limits and a
  semidefinite programming approach
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach
Chiheon Kim
Afonso S. Bandeira
M. Goemans
77
55
0
08 Jul 2018
Approximate Survey Propagation for Statistical Inference
Approximate Survey Propagation for Statistical Inference
F. Antenucci
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
85
23
0
03 Jul 2018
Phase transitions in spiked matrix estimation: information-theoretic
  analysis
Phase transitions in spiked matrix estimation: information-theoretic analysis
Léo Miolane
90
19
0
12 Jun 2018
Dense Limit of the Dawid-Skene Model for Crowdsourcing and Regions of
  Sub-optimality of Message Passing Algorithms
Dense Limit of the Dawid-Skene Model for Crowdsourcing and Regions of Sub-optimality of Message Passing Algorithms
Christiane Schmidt
Lenka Zdeborová
25
3
0
13 Mar 2018
Detection limits in the high-dimensional spiked rectangular model
Detection limits in the high-dimensional spiked rectangular model
A. Alaoui
Michael I. Jordan
82
20
0
20 Feb 2018
Estimation of Low-Rank Matrices via Approximate Message Passing
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
100
88
0
06 Nov 2017
Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked
  Wigner Model
Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model
A. Alaoui
Florent Krzakala
Michael I. Jordan
83
21
0
09 Oct 2017
A Deterministic and Generalized Framework for Unsupervised Learning with
  Restricted Boltzmann Machines
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines
Eric W. Tramel
Marylou Gabrié
Andre Manoel
F. Caltagirone
Florent Krzakala
AI4CE
94
33
0
10 Feb 2017
Statistical and computational phase transitions in spiked tensor
  estimation
Statistical and computational phase transitions in spiked tensor estimation
T. Lesieur
Léo Miolane
Marc Lelarge
Florent Krzakala
Lenka Zdeborová
103
120
0
27 Jan 2017
Exact recovery in the Ising blockmodel
Exact recovery in the Ising blockmodel
Quentin Berthet
Philippe Rigollet
P. Srivastava
TPM
117
45
0
12 Dec 2016
1