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Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional
  Inference
v1v2v3v4 (latest)

Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference

21 December 2018
Stefano Sarao Mannelli
Giulio Biroli
C. Cammarota
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
ArXiv (abs)PDFHTML

Papers citing "Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference"

6 / 6 papers shown
Title
The committee machine: Computational to statistical gaps in learning a
  two-layers neural network
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin
Antoine Maillard
Jean Barbier
Florent Krzakala
N. Macris
Lenka Zdeborová
77
106
0
14 Jun 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized
  Linear Models
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Jean Barbier
Florent Krzakala
N. Macris
Léo Miolane
Lenka Zdeborová
82
265
0
10 Aug 2017
Tensor principal component analysis via sum-of-squares proofs
Tensor principal component analysis via sum-of-squares proofs
Samuel B. Hopkins
Jonathan Shi
David Steurer
97
167
0
12 Jul 2015
A statistical model for tensor PCA
A statistical model for tensor PCA
Andrea Montanari
E. Richard
81
264
0
04 Nov 2014
State Evolution for General Approximate Message Passing Algorithms, with
  Applications to Spatial Coupling
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
Adel Javanmard
Andrea Montanari
75
263
0
21 Nov 2012
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
440
1,145
0
29 Oct 2012
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