Spectral Methods for Data Science: A Statistical Perspective

15 December 2020

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

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Title
Differentially Private Densest- $k$ -Subgraph Alireza Khayatian Anil Vullikanti Aritra Konar 32 0 0 06 May 2025
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent Yicheng Li Xinghua Sun 39 0 0 28 Apr 2025
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization Namrata Vaswani 37 0 0 20 Apr 2025
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization Ziqing Xu Hancheng Min Lachlan Ewen MacDonald Jinqi Luo Salma Tarmoun Enrique Mallada René Vidal AI4CE 53 0 0 10 Mar 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion Akhil Jalan Yassir Jedra Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 138 0 0 28 Feb 2025
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery Filip Kovačević Yihan Zhang Marco Mondelli 70 0 0 03 Feb 2025
$k$ -SVD with Gradient Descent Emily Gan Yassir Jedra Devavrat Shah 63 0 0 01 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 56 4 0 08 Jan 2025
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation Stefan Stojanovic Yassir Jedra Alexandre Proutiere 33 0 0 30 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 46 1 0 01 Oct 2024
Learning with Shared Representations: Statistical Rates and Efficient Algorithms Xiaochun Niu Lili Su Jiaming Xu Pengkun Yang FedML 30 0 0 07 Sep 2024
Factor Adjusted Spectral Clustering for Mixture Models Shange Tang Soham Jana Jianqing Fan 37 0 0 22 Aug 2024
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Dominik Stoger Yizhe Zhu 32 2 0 20 Aug 2024
Statistical ranking with dynamic covariates Pinjun Dong Ruijian Han Binyan Jiang Yiming Xu 42 0 0 24 Jun 2024
Cluster Quilting: Spectral Clustering for Patchwork Learning Lili Zheng Andersen Chang Genevera I. Allen 21 0 0 19 Jun 2024
Temporal label recovery from noisy dynamical data Y. Khoo Xin T. Tong Wanjie Wang Yuguan Wang 20 2 0 19 Jun 2024
Learning Joint and Individual Structure in Network Data with Covariates Carson James Dongbang Yuan Irina Gaynanova Jesús Arroyo CML 29 0 0 13 Jun 2024
Entry-Wise Eigenvector Analysis and Improved Rates for Topic Modeling on Short Documents Z. T. Ke Jingming Wang 22 1 0 28 May 2024
Entrywise error bounds for low-rank approximations of kernel matrices Alexander Modell 51 0 0 23 May 2024
Efficient Federated Low Rank Matrix Completion Ahmed Ali Abbasi Namrata Vaswani 13 0 0 10 May 2024
Estimating mixed memberships in multi-layer networks Huan Qing 47 0 0 05 Apr 2024
On varimax asymptotics in network models and spectral methods for dimensionality reduction Joshua Cape 47 1 0 08 Mar 2024
Top- $K$ ranking with a monotone adversary Yuepeng Yang Antares Chen Lorenzo Orecchia Cong Ma 37 1 0 12 Feb 2024
On Minimum Trace Factor Analysis -- An Old Song Sung to a New Tune C. Li A. Shkolnik 13 0 0 04 Feb 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent Zhiyu Liu Zhi-Long Han Yandong Tang Xi-Le Zhao Yao Wang 50 1 0 22 Jan 2024
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products Gan Yuan Mingyue Xu Samory Kpotufe Daniel Hsu 24 9 0 24 Dec 2023
Empirical Bayes Covariance Decomposition, and a solution to the Multiple Tuning Problem in Sparse PCA Joonsuk Kang Matthew Stephens 19 0 0 06 Dec 2023
WGoM: A novel model for categorical data with weighted responses Huan Qing 25 0 0 17 Oct 2023
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 40 19 0 11 Oct 2023
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning Stefan Stojanovic Yassir Jedra Alexandre Proutière 25 5 0 10 Oct 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 24 0 0 25 Sep 2023
Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models Sohom Bhattacharya Jianqing Fan Jikai Hou 21 1 0 29 Aug 2023
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data Shuo-chieh Huang R. Tsay 29 0 0 07 Jul 2023
Minimax rates for latent position estimation in the generalized random dot product graph Hao Yan Keith D. Levin 20 2 0 04 Jul 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 43 3 0 02 Jul 2023
Privacy-Preserving Community Detection for Locally Distributed Multiple Networks Xiaoxun Guo Xiang Li Xiangyu Chang Shujie Ma 26 4 0 27 Jun 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning Dheeraj Baby Aniket Das Dheeraj M. Nagaraj Praneeth Netrapalli 22 3 0 25 Jun 2023
Uniform error bound for PCA matrix denoising Xin T. Tong Wanjie Wang Yuguan Wang 13 2 0 22 Jun 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks Alexander Modell Ian Gallagher Emma Ceccherini N. Whiteley Patrick Rubin-Delanchy 25 1 0 09 Jun 2023
Ridge Estimation with Nonlinear Transformations Zheng Zhai Hengchao Chen Zhigang Yao 16 0 0 09 Jun 2023
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent Jialun Zhang Hong-Ming Chiu Richard Y. Zhang 37 5 0 26 May 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 39 1 0 10 May 2023
A Novel and Optimal Spectral Method for Permutation Synchronization Duc Nguyen An Zhang 21 1 0 21 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 40 4 0 10 Mar 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices Hengchao Chen Xiang Li Qiang Sun 17 1 0 24 Feb 2023
Sharp analysis of EM for learning mixtures of pairwise differences A. Dhawan Cheng Mao A. Pananjady 15 1 0 20 Feb 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 26 10 0 07 Feb 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing Xingyu Xu Yandi Shen Yuejie Chi Cong Ma 40 34 0 02 Feb 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models An Zhang 36 4 0 23 Jan 2023
Uncertainty Quantification of MLE for Entity Ranking with Covariates Jianqing Fan Jikai Hou Mengxin Yu CML 28 11 0 20 Dec 2022