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

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

3 January 2017
T. Lesieur
Florent Krzakala
Lenka Zdeborová
ArXivPDFHTML

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

23 / 73 papers shown
Title
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
14
28
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
20
14
0
04 Jul 2019
Understanding Phase Transitions via Mutual Information and MMSE
Understanding Phase Transitions via Mutual Information and MMSE
Galen Reeves
H. Pfister
22
7
0
03 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
16
52
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
16
48
0
01 Feb 2019
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional
  Inference
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference
Stefano Sarao Mannelli
Giulio Biroli
C. Cammarota
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
17
45
0
21 Dec 2018
Statistical thresholds for Tensor PCA
Statistical thresholds for Tensor PCA
Aukosh Jagannath
P. Lopatto
Léo Miolane
14
44
0
08 Dec 2018
Statistical mechanics of low-rank tensor decomposition
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon
Surya Ganguli
16
18
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
31
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
12
53
0
08 Jul 2018
Approximate Survey Propagation for Statistical Inference
Approximate Survey Propagation for Statistical Inference
F. Antenucci
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
37
21
0
03 Jul 2018
Phase transitions in spiked matrix estimation: information-theoretic
  analysis
Phase transitions in spiked matrix estimation: information-theoretic analysis
Léo Miolane
14
18
0
12 Jun 2018
Glassy nature of the hard phase in inference problems
Glassy nature of the hard phase in inference problems
F. Antenucci
S. Franz
Pierfrancesco Urbani
Lenka Zdeborová
11
29
0
15 May 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
11
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
13
20
0
20 Feb 2018
An Instability in Variational Inference for Topic Models
An Instability in Variational Inference for Topic Models
Behrooz Ghorbani
H. Javadi
Andrea Montanari
13
31
0
02 Feb 2018
Estimation of Low-Rank Matrices via Approximate Message Passing
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
35
86
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
24
21
0
09 Oct 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
32
13
0
02 Jun 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
25
32
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
31
116
0
27 Jan 2017
Exact recovery in the Ising blockmodel
Exact recovery in the Ising blockmodel
Quentin Berthet
Philippe Rigollet
P. Srivastava
TPM
25
44
0
12 Dec 2016
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
Previous
12