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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
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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
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
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
Samuel B. Hopkins
Jonathan Shi
David Steurer
97
167
0
12 Jul 2015
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
Adel Javanmard
Andrea Montanari
75
263
0
21 Nov 2012
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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