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. 1907.11635
  4. Cited By
Subexponential-Time Algorithms for Sparse PCA

Subexponential-Time Algorithms for Sparse PCA

26 July 2019
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
ArXivPDFHTML

Papers citing "Subexponential-Time Algorithms for Sparse PCA"

13 / 13 papers shown
Title
Computational lower bounds for multi-frequency group synchronization
Computational lower bounds for multi-frequency group synchronization
Anastasia Kireeva
Afonso S. Bandeira
Dmitriy Kunisky
48
1
0
05 Jun 2024
Low-degree phase transitions for detecting a planted clique in sublinear
  time
Low-degree phase transitions for detecting a planted clique in sublinear time
Jay Mardia
K. A. Verchand
Alexander S. Wein
24
1
0
08 Feb 2024
Do algorithms and barriers for sparse principal component analysis
  extend to other structured settings?
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
Guanyi Wang
Mengqi Lou
A. Pananjady
CML
38
1
0
25 Jul 2023
SQ Lower Bounds for Random Sparse Planted Vector Problem
SQ Lower Bounds for Random Sparse Planted Vector Problem
Jingqiu Ding
Yiding Hua
21
4
0
26 Jan 2023
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
13
25
0
14 Dec 2022
Learning and Testing Latent-Tree Ising Models Efficiently
Learning and Testing Latent-Tree Ising Models Efficiently
Davin Choo
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
22
8
0
23 Nov 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Zhongyuan Lyu
Dong Xia
29
3
0
11 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
29
19
0
17 Jun 2022
Reconstruction on Trees and Low-Degree Polynomials
Reconstruction on Trees and Low-Degree Polynomials
Frederic Koehler
Elchanan Mossel
32
9
0
14 Sep 2021
On Support Recovery with Sparse CCA: Information Theoretic and
  Computational Limits
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
Nilanjana Laha
Rajarshi Mukherjee
31
4
0
14 Aug 2021
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
J. Li
T. Schramm
19
62
0
13 Sep 2020
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
33
14
0
21 May 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
35
44
0
21 May 2020
1