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Information-theoretic limits of a multiview low-rank symmetric spiked
  matrix model

Information-theoretic limits of a multiview low-rank symmetric spiked matrix model

16 May 2020
Jean Barbier
Galen Reeves
ArXivPDFHTML

Papers citing "Information-theoretic limits of a multiview low-rank symmetric spiked matrix model"

4 / 4 papers shown
Title
Detecting Planted Partition in Sparse Multi-Layer Networks
Detecting Planted Partition in Sparse Multi-Layer Networks
Anirban Chatterjee
Sagnik Nandy
Ritwik Sadhu
26
1
0
15 Sep 2022
Information theoretic limits of learning a sparse rule
Information theoretic limits of learning a sparse rule
Clément Luneau
Jean Barbier
N. Macris
25
12
0
19 Jun 2020
Information-Theoretic Limits for the Matrix Tensor Product
Information-Theoretic Limits for the Matrix Tensor Product
Galen Reeves
34
29
0
22 May 2020
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
46
104
0
14 Jun 2018
1