Spectral Methods for Data Science: A Statistical Perspective

Spectral Methods for Data Science: A Statistical Perspective

15 December 2020

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

13 / 13 papers shown

Title
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent Yicheng Li Xinghua Sun 36 0 0 28 Apr 2025
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization Namrata Vaswani 34 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 Pinjun Dong Ruijian Han Binyan Jiang Yiming Xu 32 0 0 24 Jun 2024
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 Behrad Moniri Donghwan Lee Hamed Hassani Edgar Dobriban MLT 21 19 0 11 Oct 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 19 3 0 02 Jul 2023
A Novel and Optimal Spectral Method for Permutation Synchronization Duc Nguyen An Zhang 16 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 $\mathbb{Z}_{2}$ synchronization Gen Li Wei Fan Yuting Wei 15 10 0 07 Feb 2023
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls Yiping Lu Jiajin Li Lexing Ying Jose H. Blanchet 12 2 0 28 Nov 2022
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 Yuxin Chen Emmanuel Candes 15 92 0 19 Sep 2016
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