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Spectral Methods for Data Science: A Statistical Perspective

Spectral Methods for Data Science: A Statistical Perspective

15 December 2020
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
ArXivPDFHTML

Papers citing "Spectral Methods for Data Science: A Statistical Perspective"

12 / 12 papers shown
Title
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent
Yicheng Li
Xinghua Sun
31
0
0
28 Apr 2025
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
Namrata Vaswani
32
0
0
20 Apr 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
Akhil Jalan
Yassir Jedra
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
44
0
0
28 Feb 2025
Statistical ranking with dynamic covariates
Statistical ranking with dynamic covariates
Pinjun Dong
Ruijian Han
Binyan Jiang
Yiming Xu
32
0
0
24 Jun 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi-Long Han
Yandong Tang
Xi-Le Zhao
Yao Wang
27
1
0
22 Jan 2024
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
MLT
16
19
0
11 Oct 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
Runshi Tang
M. Yuan
Anru R. Zhang
16
3
0
02 Jul 2023
A Novel and Optimal Spectral Method for Permutation Synchronization
A Novel and Optimal Spectral Method for Permutation Synchronization
Duc Nguyen
An Zhang
14
1
0
21 Mar 2023
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
13
10
0
07 Feb 2023
Communication-efficient distributed eigenspace estimation with arbitrary
  node failures
Communication-efficient distributed eigenspace estimation with arbitrary node failures
Vasileios Charisopoulos
Anil Damle
11
1
0
31 May 2022
The Projected Power Method: An Efficient Algorithm for Joint Alignment
  from Pairwise Differences
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen
Emmanuel Candes
13
92
0
19 Sep 2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
90
1,334
0
06 Jul 2016
1