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1411.6149
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On the limitation of spectral methods: From the Gaussian hidden clique problem to rank one perturbations of Gaussian tensors
22 November 2014
Andrea Montanari
Daniel Reichman
Ofer Zeitouni
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Papers citing
"On the limitation of spectral methods: From the Gaussian hidden clique problem to rank one perturbations of Gaussian tensors"
11 / 11 papers shown
Title
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Tong Qi
V. Lyzinski
13
0
0
18 Dec 2023
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous
Reza Gheissari
Aukosh Jagannath
49
59
0
08 Jun 2022
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
24
65
0
26 Feb 2020
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
21
135
0
26 Jul 2019
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
22
57
0
26 Jul 2019
Universality of Computational Lower Bounds for Submatrix Detection
Matthew Brennan
Guy Bresler
Wasim Huleihel
27
26
0
19 Feb 2019
Statistical and computational phase transitions in spiked tensor estimation
T. Lesieur
Léo Miolane
Marc Lelarge
Florent Krzakala
Lenka Zdeborová
25
115
0
27 Jan 2017
Statistical limits of spiked tensor models
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
16
76
0
22 Dec 2016
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
24
59
0
19 Sep 2016
Testing in high-dimensional spiked models
Iain M. Johnstone
A. Onatski
30
53
0
24 Sep 2015
A goodness-of-fit test for stochastic block models
Jing Lei
27
180
0
16 Dec 2014
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