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2211.03827
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Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
7 November 2022
Yuchen Wu
Kangjie Zhou
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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
Yuchen Wu
Kangjie Zhou
97
0
0
02 Jan 2024
Approximate message passing from random initialization with applications to
Z
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\mathbb{Z}_{2}
Z
2
synchronization
Gen Li
Wei Fan
Yuting Wei
59
11
0
07 Feb 2023
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
Samuel B. Hopkins
T. Schramm
Jonathan Shi
70
23
0
05 Mar 2022
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
Andrea Montanari
Yuchen Wu
57
10
0
13 Jan 2022
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
Michael Celentano
Andrea Montanari
Yuchen Wu
43
44
0
28 Feb 2020
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
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
Marco Mondelli
Andrea Montanari
MLT
CML
50
58
0
20 Feb 2018
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
Rong Ge
Tengyu Ma
86
92
0
18 Jun 2017
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
Cynthia Rush
R. Venkataramanan
53
58
0
06 Jun 2016
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
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
89
881
0
22 Sep 2015
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
Rong Ge
Tengyu Ma
88
65
0
21 Apr 2015
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
Boaz Barak
Jonathan A. Kelner
David Steurer
70
187
0
06 Jul 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-
1
1
1
Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
114
131
0
21 Feb 2014
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
Daniel J. Hsu
Sham Kakade
142
324
0
25 Jun 2012
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