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Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models

Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models

7 November 2022
Yuchen Wu
Kangjie Zhou
ArXivPDFHTML

Papers citing "Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models"

24 / 24 papers shown
Title
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
97
0
0
02 Jan 2024
Approximate message passing from random initialization with applications
  to $\mathbb{Z}_{2}$ synchronization
Approximate message passing from random initialization with applications to Z2\mathbb{Z}_{2}Z2​ synchronization
Gen Li
Wei Fan
Yuting Wei
59
11
0
07 Feb 2023
Adversarial Examples in Random Neural Networks with General Activations
Adversarial Examples in Random Neural Networks with General Activations
Andrea Montanari
Yuchen Wu
GAN
AAML
86
13
0
31 Mar 2022
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
Samuel B. Hopkins
T. Schramm
Jonathan Shi
70
23
0
05 Mar 2022
Fast algorithm for overcomplete order-3 tensor decomposition
Fast algorithm for overcomplete order-3 tensor decomposition
Jingqiu Ding
Tommaso dÓrsi
Chih-Hung Liu
Stefan Tiegel
David Steurer
47
9
0
14 Feb 2022
Statistically Optimal First Order Algorithms: A Proof via
  Orthogonalization
Statistically Optimal First Order Algorithms: A Proof via Orthogonalization
Andrea Montanari
Yuchen Wu
57
10
0
13 Jan 2022
Landscape analysis of an improved power method for tensor decomposition
Landscape analysis of an improved power method for tensor decomposition
Joe Kileel
T. Klock
João M. Pereira
48
10
0
29 Oct 2021
The estimation error of general first order methods
The estimation error of general first order methods
Michael Celentano
Andrea Montanari
Yuchen Wu
43
44
0
28 Feb 2020
Bootstrapping Upper Confidence Bound
Bootstrapping Upper Confidence Bound
Botao Hao
Yasin Abbasi-Yadkori
Zheng Wen
Guang Cheng
58
52
0
12 Jun 2019
Smoothed Analysis in Unsupervised Learning via Decoupling
Smoothed Analysis in Unsupervised Learning via Decoupling
Aditya Bhaskara
Aidao Chen
Aidan Perreault
Aravindan Vijayaraghavan
33
18
0
29 Nov 2018
On the Connection Between Learning Two-Layers Neural Networks and Tensor
  Decomposition
On the Connection Between Learning Two-Layers Neural Networks and Tensor Decomposition
Marco Mondelli
Andrea Montanari
MLT
CML
50
58
0
20 Feb 2018
Fast and robust tensor decomposition with applications to dictionary
  learning
Fast and robust tensor decomposition with applications to dictionary learning
T. Schramm
David Steurer
46
47
0
27 Jun 2017
On the Optimization Landscape of Tensor Decompositions
On the Optimization Landscape of Tensor Decompositions
Rong Ge
Tengyu Ma
86
92
0
18 Jun 2017
Polynomial-time Tensor Decompositions with Sum-of-Squares
Polynomial-time Tensor Decompositions with Sum-of-Squares
Tengyu Ma
Jonathan Shi
David Steurer
175
120
0
06 Oct 2016
Finite Sample Analysis of Approximate Message Passing Algorithms
Finite Sample Analysis of Approximate Message Passing Algorithms
Cynthia Rush
R. Venkataramanan
53
58
0
06 Jun 2016
Fast spectral algorithms from sum-of-squares proofs: tensor
  decomposition and planted sparse vectors
Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors
Samuel B. Hopkins
T. Schramm
Jonathan Shi
David Steurer
100
136
0
08 Dec 2015
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
89
881
0
22 Sep 2015
Tensor principal component analysis via sum-of-squares proofs
Tensor principal component analysis via sum-of-squares proofs
Samuel B. Hopkins
Jonathan Shi
David Steurer
93
164
0
12 Jul 2015
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares
  Algorithms
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms
Rong Ge
Tengyu Ma
88
65
0
21 Apr 2015
Learning Mixtures of Gaussians in High Dimensions
Learning Mixtures of Gaussians in High Dimensions
Rong Ge
Qingqing Huang
Sham Kakade
98
127
0
02 Mar 2015
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares
  Method
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
Boaz Barak
Jonathan A. Kelner
David Steurer
70
187
0
06 Jul 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$
  Updates
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-111 Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
114
131
0
21 Feb 2014
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
351
1,145
0
29 Oct 2012
Learning mixtures of spherical Gaussians: moment methods and spectral
  decompositions
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel J. Hsu
Sham Kakade
142
324
0
25 Jun 2012
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