Spectral Methods for Data Science: A Statistical Perspective

15 December 2020

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

50 / 100 papers shown

Title
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls Yiping Lu Jiajin Li Lexing Ying Jose H. Blanchet 19 2 0 28 Nov 2022
Robust High-dimensional Tuning Free Multiple Testing Jianqing Fan Zhipeng Lou Mengxin Yu 35 1 0 22 Nov 2022
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks Huan Qing Jingli Wang 21 8 0 02 Nov 2022
Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization An Zhang 42 5 0 12 Sep 2022
Generative Modeling via Tree Tensor Network States Xun Tang Y. Hur Y. Khoo Lexing Ying 18 8 0 03 Sep 2022
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix Julia Gaudio Nirmit Joshi 17 3 0 23 Aug 2022
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search Liangzu Peng Mahyar Fazlyab René Vidal 29 2 0 18 Jul 2022
Optimal tuning-free convex relaxation for noisy matrix completion Yuepeng Yang Cong Ma 28 8 0 12 Jul 2022
Gradient Descent for Low-Rank Functions Romain Cosson Ali Jadbabaie A. Makur Amirhossein Reisizadeh Devavrat Shah 23 3 0 16 Jun 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 21 3 0 09 Jun 2022
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials Eshaan Nichani Yunzhi Bai Jason D. Lee 27 10 0 08 Jun 2022
Communication-efficient distributed eigenspace estimation with arbitrary node failures Vasileios Charisopoulos Anil Damle 13 1 0 31 May 2022
Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering A. Zhang Harrison H. Zhou 9 13 0 30 May 2022
One-Way Matching of Datasets with Low Rank Signals Shuxiao Chen Sizun Jiang Zongming Ma Garry P. Nolan Bokai Zhu 23 10 0 29 Apr 2022
Optimal Network Membership Estimation Under Severe Degree Heterogeneity Z. Ke Jingming Wang 14 7 0 26 Apr 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach Xiucai Ding Rongkai Ma 29 9 0 28 Feb 2022
Generative modeling via tensor train sketching Y. Hur J. Hoskins M. Lindsey E. Stoudenmire Y. Khoo 24 23 0 23 Feb 2022
Low-Rank Phase Retrieval with Structured Tensor Models Soo Min Kwon Xin Li Anand D. Sarwate 17 3 0 15 Feb 2022
Synthetically Controlled Bandits Vivek Farias C. Moallemi Tianyi Peng Andrew Zheng 27 13 0 14 Feb 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms Joshua Agterberg Jeremias Sulam 19 0 0 08 Feb 2022
Multiscale Graph Comparison via the Embedded Laplacian Discrepancy Edric Tam David B. Dunson 22 5 0 28 Jan 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 20 17 0 26 Jan 2022
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model Ioana Dumitriu Haixiao Wang Yizhe Zhu 26 12 0 22 Dec 2021
Mixed membership distribution-free model Huan Qing Jingli Wang 37 5 0 04 Dec 2021
Unraveling the graph structure of tabular data through Bayesian and spectral analysis B. M. F. Resende Eric K. Tokuda L. D. F. Costa CML 26 2 0 04 Oct 2021
A useful criterion on studying consistent estimation in community detection Huan Qing 11 8 0 30 Sep 2021
Directed degree corrected mixed membership model and estimating community memberships in directed networks Huan Qing 17 3 0 16 Sep 2021
Inference for Heteroskedastic PCA with Missing Data Yuling Yan Yuxin Chen Jianqing Fan 32 16 0 26 Jul 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data Ning Ma Jiajun Bu Zhen Zhang Sheng Zhou TTA 21 13 0 14 Jul 2021
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property Iain Carmichael 32 2 0 07 Jul 2021
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction Dominik Stöger Mahdi Soltanolkotabi ODL 36 75 0 28 Jun 2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective Shulei Wang SSL 22 3 0 14 Jun 2021
Optimal Spectral Recovery of a Planted Vector in a Subspace Cheng Mao Alexander S. Wein 17 18 0 31 May 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence Joshua Agterberg Zachary Lubberts Carey Priebe 14 19 0 27 May 2021
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements Tian Tong Cong Ma Ashley Prater-Bennette Erin E. Tripp Yuejie Chi 23 32 0 29 Apr 2021
Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing Cong Ma Yuanxin Li Yuejie Chi 16 3 0 13 Jan 2021
Directed mixed membership stochastic blockmodel Huan Qing Jingli Wang 25 5 0 07 Jan 2021
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases Francesca Tang Yang Feng Hamza Chiheb Jianqing Fan 13 13 0 06 Jan 2021
Stochastic Approximation for Online Tensorial Independent Component Analysis C. J. Li Michael I. Jordan 25 2 0 28 Dec 2020
Consistency of regularized spectral clustering in degree-corrected mixed membership model Huan Qing Jingli Wang 11 0 0 23 Nov 2020
$An exact $\sinΘ$ formula for matrix perturbation analysis and its applications$ An exact $\sinΘ$ formula for matrix perturbation analysis and its applications He Lyu Rongrong Wang 14 3 0 16 Nov 2020
Learning Mixtures of Low-Rank Models Yanxi Chen Cong Ma H. Vincent Poor Yuxin Chen 18 13 0 23 Sep 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model Gen Li Yuting Wei Yuejie Chi Yuxin Chen 31 124 0 26 May 2020
Covariance Estimation for Matrix-valued Data Yichi Zhang Weining Shen Dehan Kong 11 11 0 11 Apr 2020
Learning functions varying along a central subspace Hao Liu Wenjing Liao 6 3 0 22 Jan 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 19 51 0 15 Jan 2020
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph Gen Li Yuantao Gu 24 3 0 25 Jul 2019
Nonconvex Matrix Factorization from Rank-One Measurements Yuanxin Li Cong Ma Yuxin Chen Yuejie Chi 25 51 0 17 Feb 2018
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences Yuxin Chen Emmanuel Candes 37 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 105 1,342 0 06 Jul 2016