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. 1507.06370
  4. Cited By
Sum-of-Squares Lower Bounds for Sparse PCA
v1v2 (latest)

Sum-of-Squares Lower Bounds for Sparse PCA

23 July 2015
Tengyu Ma
A. Wigderson
ArXiv (abs)PDFHTML

Papers citing "Sum-of-Squares Lower Bounds for Sparse PCA"

29 / 29 papers shown
Title
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
Distributional Hardness Against Preconditioned Lasso via Erasure-Robust
  Designs
Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
45
3
0
05 Mar 2022
Coordinate Descent Methods for Fractional Minimization
Coordinate Descent Methods for Fractional Minimization
Ganzhao Yuan
78
6
0
30 Jan 2022
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and
  Generative Priors
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu
Subhro Ghosh
Jonathan Scarlett
59
18
0
29 Jun 2021
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
Free Energy Wells and Overlap Gap Property in Sparse PCA
Free Energy Wells and Overlap Gap Property in Sparse PCA
Gerard Ben Arous
Alexander S. Wein
Ilias Zadik
73
34
0
18 Jun 2020
All-or-nothing statistical and computational phase transitions in sparse
  spiked matrix estimation
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
Cynthia Rush
76
36
0
14 Jun 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
47
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
Information-theoretic limits of a multiview low-rank symmetric spiked
  matrix model
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model
Jean Barbier
Galen Reeves
102
14
0
16 May 2020
Distributed Estimation for Principal Component Analysis: an Enlarged
  Eigenspace Analysis
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis
Xi Chen
Jason D. Lee
He Li
Yun Yang
79
6
0
05 Apr 2020
The estimation error of general first order methods
The estimation error of general first order methods
Michael Celentano
Andrea Montanari
Yuchen Wu
79
46
0
28 Feb 2020
Convergence and sample complexity of gradient methods for the model-free
  linear quadratic regulator problem
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi
A. Zare
Mahdi Soltanolkotabi
M. Jovanović
87
124
0
26 Dec 2019
0-1 phase transitions in sparse spiked matrix estimation
0-1 phase transitions in sparse spiked matrix estimation
Jean Barbier
N. Macris
89
15
0
12 Nov 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
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust
  Estimation and Semirandom Adversaries
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries
Matthew Brennan
Guy Bresler
133
12
0
08 Aug 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
177
63
0
26 Jul 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to
  Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
70
51
0
20 Feb 2019
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
Reducibility and Computational Lower Bounds for Problems with Planted
  Sparse Structure
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Matthew Brennan
Guy Bresler
Wasim Huleihel
134
110
0
19 Jun 2018
Bayesian estimation from few samples: community detection and related
  problems
Bayesian estimation from few samples: community detection and related problems
Samuel B. Hopkins
David Steurer
107
63
0
30 Sep 2017
Exact tensor completion with sum-of-squares
Exact tensor completion with sum-of-squares
Aaron Potechin
David Steurer
204
80
0
21 Feb 2017
Robust Sparse Estimation Tasks in High Dimensions
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
133
27
0
20 Feb 2017
Statistical Query Lower Bounds for Robust Estimation of High-dimensional
  Gaussians and Gaussian Mixtures
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures
Ilias Diakonikolas
D. Kane
Alistair Stewart
101
233
0
10 Nov 2016
A Non-generative Framework and Convex Relaxations for Unsupervised
  Learning
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
Elad Hazan
Tengyu Ma
112
19
0
04 Oct 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
161
139
0
08 Dec 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating
  directions
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
129
112
0
15 Dec 2014
Sparse PCA via Covariance Thresholding
Sparse PCA via Covariance Thresholding
Y. Deshpande
Andrea Montanari
184
108
0
20 Nov 2013
1