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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

14 June 2020
Jean Barbier
N. Macris
Cynthia Rush
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Papers citing "All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation"

5 / 5 papers shown
Title
Sharp thresholds in inference of planted subgraphs
Sharp thresholds in inference of planted subgraphs
Elchanan Mossel
Jonathan Niles-Weed
Youngtak Sohn
Nike Sun
Ilias Zadik
10
6
0
28 Feb 2023
Bayesian Inference with Nonlinear Generative Models: Comments on Secure
  Learning
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
Ali Bereyhi
Bruno Loureiro
Florent Krzakala
R. Muller
H. Schulz-Baldes
35
2
0
19 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
27
32
0
08 Dec 2021
Performance of Bayesian linear regression in a model with mismatch
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
40
22
0
14 Jul 2021
It was "all" for "nothing": sharp phase transitions for noiseless
  discrete channels
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels
Jonathan Niles-Weed
Ilias Zadik
23
10
0
24 Feb 2021
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