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Fast spectral algorithms from sum-of-squares proofs: tensor
  decomposition and planted sparse vectors
v1v2 (latest)

Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors

8 December 2015
Samuel B. Hopkins
T. Schramm
Jonathan Shi
David Steurer
ArXiv (abs)PDFHTML

Papers citing "Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors"

50 / 56 papers shown
Title
Survey on Algorithms for multi-index models
Survey on Algorithms for multi-index models
Joan Bruna
Daniel Hsu
103
3
0
07 Apr 2025
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Pravesh K. Kothari
Ankur Moitra
Alexander S. Wein
150
1
0
21 Nov 2024
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Fundamental limits of Non-Linear Low-Rank Matrix Estimation
Pierre Mergny
Justin Ko
Florent Krzakala
Lenka Zdeborová
84
3
0
07 Mar 2024
Sharp Analysis of Power Iteration for Tensor PCA
Sharp Analysis of Power Iteration for Tensor PCA
Yuchen Wu
Kangjie Zhou
163
1
0
02 Jan 2024
SQ Lower Bounds for Random Sparse Planted Vector Problem
SQ Lower Bounds for Random Sparse Planted Vector Problem
Jingqiu Ding
Yiding Hua
62
4
0
26 Jan 2023
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
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
Yuchen Wu
Kangjie Zhou
173
6
0
07 Nov 2022
Disordered Systems Insights on Computational Hardness
Disordered Systems Insights on Computational Hardness
D. Gamarnik
Cristopher Moore
Lenka Zdeborová
AI4CE
84
36
0
15 Oct 2022
Concentration of polynomial random matrices via Efron-Stein inequalities
Concentration of polynomial random matrices via Efron-Stein inequalities
Goutham Rajendran
Madhur Tulsiani
92
7
0
06 Sep 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
86
10
0
05 Sep 2022
High-dimensional limit theorems for SGD: Effective dynamics and critical
  scaling
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous
Reza Gheissari
Aukosh Jagannath
137
59
0
08 Jun 2022
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
Samuel B. Hopkins
T. Schramm
Jonathan Shi
95
23
0
05 Mar 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
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
78
39
0
07 Dec 2021
Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Jingkai Li
Allen Liu
64
23
0
01 Dec 2021
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed
  Errors
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors
Arnab Auddy
M. Yuan
57
12
0
20 Jul 2021
Optimal Spectral Recovery of a Planted Vector in a Subspace
Optimal Spectral Recovery of a Planted Vector in a Subspace
Cheng Mao
Alexander S. Wein
69
20
0
31 May 2021
SoS Degree Reduction with Applications to Clustering and Robust Moment
  Estimation
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation
David Steurer
Stefan Tiegel
68
10
0
05 Jan 2021
Power Iteration for Tensor PCA
Power Iteration for Tensor PCA
Jiaoyang Huang
Daniel Zhengyu Huang
Qing Yang
Guang Cheng
74
19
0
26 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
163
173
0
15 Dec 2020
Exact nuclear norm, completion and decomposition for random overcomplete
  tensors via degree-4 SOS
Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS
Bohdan Kivva
Aaron Potechin
53
11
0
18 Nov 2020
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Tommaso dÓrsi
Pravesh Kothari
Gleb Novikov
David Steurer
AAML
128
25
0
12 Nov 2020
Settling the Robust Learnability of Mixtures of Gaussians
Settling the Robust Learnability of Mixtures of Gaussians
Allen Liu
Ankur Moitra
81
42
0
06 Nov 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
Overcomplete order-3 tensor decomposition, blind deconvolution and
  Gaussian mixture models
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
Haolin Chen
Luis Rademacher
57
3
0
16 Jul 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
Learning Polynomials of Few Relevant Dimensions
Learning Polynomials of Few Relevant Dimensions
Sitan Chen
Raghu Meka
70
40
0
28 Apr 2020
Learning sums of powers of low-degree polynomials in the non-degenerate
  case
Learning sums of powers of low-degree polynomials in the non-degenerate case
A. Garg
N. Kayal
Chandan Saha
68
24
0
15 Apr 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and
  Applications
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
Qing Qu
Zhihui Zhu
Xiao Li
M. Tsakiris
John N. Wright
René Vidal
62
20
0
20 Jan 2020
Algorithms for Heavy-Tailed Statistics: Regression, Covariance
  Estimation, and Beyond
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond
Yeshwanth Cherapanamjeri
Samuel B. Hopkins
Tarun Kathuria
P. Raghavendra
Nilesh Tripuraneni
150
39
0
23 Dec 2019
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
A Survey of Recent Scalability Improvements for Semidefinite Programming
  with Applications in Machine Learning, Control, and Robotics
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
Anirudha Majumdar
G. Hall
Amir Ali Ahmadi
115
102
0
14 Aug 2019
Classical and Quantum Algorithms for Tensor Principal Component Analysis
Classical and Quantum Algorithms for Tensor Principal Component Analysis
M. Hastings
76
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
The Kikuchi Hierarchy and Tensor PCA
The Kikuchi Hierarchy and Tensor PCA
Alexander S. Wein
A. Alaoui
Cristopher Moore
74
62
0
08 Apr 2019
Statistical thresholds for Tensor PCA
Statistical thresholds for Tensor PCA
Aukosh Jagannath
P. Lopatto
Léo Miolane
62
44
0
08 Dec 2018
Smoothed Analysis in Unsupervised Learning via Decoupling
Smoothed Analysis in Unsupervised Learning via Decoupling
Aditya Bhaskara
Aidao Chen
Aidan Perreault
Aravindan Vijayaraghavan
64
19
0
29 Nov 2018
Spectral Methods from Tensor Networks
Spectral Methods from Tensor Networks
Ankur Moitra
Alexander S. Wein
75
21
0
02 Nov 2018
Mean Estimation with Sub-Gaussian Rates in Polynomial Time
Mean Estimation with Sub-Gaussian Rates in Polynomial Time
Samuel B. Hopkins
87
81
0
19 Sep 2018
Algorithmic thresholds for tensor PCA
Algorithmic thresholds for tensor PCA
Gerard Ben Arous
Reza Gheissari
Aukosh Jagannath
145
87
0
02 Aug 2018
High-dimensional estimation via sum-of-squares proofs
High-dimensional estimation via sum-of-squares proofs
P. Raghavendra
T. Schramm
David Steurer
90
59
0
30 Jul 2018
Structured Local Optima in Sparse Blind Deconvolution
Structured Local Optima in Sparse Blind Deconvolution
Yuqian Zhang
Han-Wen Kuo
John N. Wright
134
57
0
01 Jun 2018
High Dimensional Robust Sparse Regression
High Dimensional Robust Sparse Regression
Liu Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
95
71
0
29 May 2018
Notes on computational-to-statistical gaps: predictions using
  statistical physics
Notes on computational-to-statistical gaps: predictions using statistical physics
Afonso S. Bandeira
Amelia Perry
Alexander S. Wein
AI4CE
104
58
0
29 Mar 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
MLTCML
94
59
0
20 Feb 2018
Convolutional Phase Retrieval via Gradient Descent
Convolutional Phase Retrieval via Gradient Descent
Qing Qu
Yuqian Zhang
Yonina C. Eldar
John N. Wright
101
30
0
03 Dec 2017
The landscape of the spiked tensor model
The landscape of the spiked tensor model
Gerard Ben Arous
Song Mei
Andrea Montanari
Mihai Nica
92
119
0
15 Nov 2017
Fast and robust tensor decomposition with applications to dictionary
  learning
Fast and robust tensor decomposition with applications to dictionary learning
T. Schramm
David Steurer
84
47
0
27 Jun 2017
On the Optimization Landscape of Tensor Decompositions
On the Optimization Landscape of Tensor Decompositions
Rong Ge
Tengyu Ma
116
92
0
18 Jun 2017
Relative Error Tensor Low Rank Approximation
Relative Error Tensor Low Rank Approximation
Zhao Song
David P. Woodruff
Peilin Zhong
99
123
0
26 Apr 2017
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