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1701.08010
Cited By
Statistical and computational phase transitions in spiked tensor estimation
27 January 2017
T. Lesieur
Léo Miolane
Marc Lelarge
Florent Krzakala
Lenka Zdeborová
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Papers citing
"Statistical and computational phase transitions in spiked tensor estimation"
24 / 24 papers shown
Title
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Pierre Mergny
Justin Ko
Florent Krzakala
Lenka Zdeborová
27
1
0
07 Mar 2024
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
Hugo Lebeau
Florent Chatelain
Romain Couillet
37
3
0
05 Feb 2024
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
31
0
0
02 Jan 2024
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
Minh-Toan Nguyen
Romain Couillet
14
4
0
03 Mar 2023
Multilayer hypergraph clustering using the aggregate similarity matrix
Kalle Alaluusua
Konstantin Avrachenkov
B. K. Shreyamsha Kumar
Lasse Leskelä
29
3
0
27 Jan 2023
Disordered Systems Insights on Computational Hardness
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
30
32
0
15 Oct 2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous
Reza Gheissari
Aukosh Jagannath
49
59
0
08 Jun 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
21
19
0
01 Jun 2022
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
M. Ouerfelli
M. Tamaazousti
V. Rivasseau
31
7
0
23 Dec 2021
Power Iteration for Tensor PCA
Jiaoyang Huang
Daniel Zhengyu Huang
Qing Yang
Guang Cheng
24
18
0
26 Dec 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
19
22
0
06 Oct 2020
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan
Guy Bresler
Samuel B. Hopkins
J. Li
T. Schramm
19
62
0
13 Sep 2020
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection
Yuetian Luo
Anru R. Zhang
22
14
0
12 Sep 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
24
44
0
21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
21
85
0
16 May 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
18
65
0
26 Feb 2020
Thresholds of descending algorithms in inference problems
Stefano Sarao Mannelli
Lenka Zdeborova
AI4CE
22
4
0
02 Jan 2020
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
19
135
0
26 Jul 2019
How to iron out rough landscapes and get optimal performances: Averaged Gradient Descent and its application to tensor PCA
Giulio Biroli
C. Cammarota
F. Ricci-Tersenghi
23
27
0
29 May 2019
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach
Chiheon Kim
Afonso S. Bandeira
M. Goemans
12
53
0
08 Jul 2018
Notes on computational-to-statistical gaps: predictions using statistical physics
Afonso S. Bandeira
Amelia Perry
Alexander S. Wein
AI4CE
18
57
0
29 Mar 2018
Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares
Chiheon Kim
Afonso S. Bandeira
M. Goemans
17
53
0
08 May 2017
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
21
166
0
08 Mar 2017
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
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