ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.03858
  4. Cited By
The Kikuchi Hierarchy and Tensor PCA
v1v2 (latest)

The Kikuchi Hierarchy and Tensor PCA

8 April 2019
Alexander S. Wein
A. Alaoui
Cristopher Moore
ArXiv (abs)PDFHTML

Papers citing "The Kikuchi Hierarchy and Tensor PCA"

21 / 21 papers shown
Title
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Pravesh K. Kothari
Ankur Moitra
Alexander S. Wein
147
1
0
21 Nov 2024
Community detection with the Bethe-Hessian
Community detection with the Bethe-Hessian
Ludovic Stephan
Yizhe Zhu
84
1
0
05 Nov 2024
Quartic quantum speedups for planted inference
Quartic quantum speedups for planted inference
Alexander Schmidhuber
Ryan O'Donnell
Robin Kothari
Ryan Babbush
61
2
0
27 Jun 2024
Equivalence of Approximate Message Passing and Low-Degree Polynomials in
  Rank-One Matrix Estimation
Equivalence of Approximate Message Passing and Low-Degree Polynomials in Rank-One Matrix Estimation
Andrea Montanari
Alexander S. Wein
47
27
0
14 Dec 2022
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Alexander S. Wein
113
11
0
10 Nov 2022
On free energy barriers in Gaussian priors and failure of cold start
  MCMC for high-dimensional unimodal distributions
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions
Afonso S. Bandeira
Antoine Maillard
Richard Nickl
Sven Wang
83
10
0
05 Sep 2022
The Franz-Parisi Criterion and Computational Trade-offs in High
  Dimensional Statistics
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S. Bandeira
A. Alaoui
Samuel B. Hopkins
T. Schramm
Alexander S. Wein
Ilias Zadik
93
34
0
19 May 2022
A Ihara-Bass Formula for Non-Boolean Matrices and Strong Refutations of
  Random CSPs
A Ihara-Bass Formula for Non-Boolean Matrices and Strong Refutations of Random CSPs
Tommaso dÓrsi
Luca Trevisan
100
5
0
20 Apr 2022
Selective Multiple Power Iteration: from Tensor PCA to gradient-based
  exploration of landscapes
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
M. Ouerfelli
M. Tamaazousti
V. Rivasseau
75
7
0
23 Dec 2021
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
105
22
0
06 Oct 2020
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
Matthew Brennan
Guy Bresler
Samuel B. Hopkins
Jingkai Li
T. Schramm
86
66
0
13 Sep 2020
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique
  Detection
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection
Yuetian Luo
Anru R. Zhang
46
16
0
12 Sep 2020
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding
  Walks
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
Jingqiu Ding
Samuel B. Hopkins
David Steurer
47
10
0
31 Aug 2020
Computational Barriers to Estimation from Low-Degree Polynomials
Computational Barriers to Estimation from Low-Degree Polynomials
T. Schramm
Alexander S. Wein
73
67
0
05 Aug 2020
Tensor Clustering with Planted Structures: Statistical Optimality and
  Computational Limits
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
134
46
0
21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
99
91
0
16 May 2020
The Overlap Gap Property in Principal Submatrix Recovery
The Overlap Gap Property in Principal Submatrix Recovery
D. Gamarnik
Aukosh Jagannath
S. Sen
62
29
0
26 Aug 2019
Classical and Quantum Algorithms for Tensor Principal Component Analysis
Classical and Quantum Algorithms for Tensor Principal Component Analysis
M. Hastings
57
17
0
30 Jul 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using
  the Low-Degree Likelihood Ratio
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
99
148
0
26 Jul 2019
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
175
62
0
26 Jul 2019
How to iron out rough landscapes and get optimal performances: Averaged
  Gradient Descent and its application to tensor PCA
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
79
28
0
29 May 2019
1