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An optimal statistical and computational framework for generalized tensor estimation

The Annals of statistics, 2022-02, Vol.50 (1), p.1

2022

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Tensor clustering with planted structures: Statistical optimality and computational limits

The Annals of statistics, 2022-02, Vol.50 (1), p.584

2022

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Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices

IEEE transactions on information theory, 2014-01, Vol.60 (1), p.122-132

2014

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Guaranteed Functional Tensor Singular Value Decomposition

Journal of the American Statistical Association, 2024-04, Vol.119 (546), p.995-1007

2024

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Inference for low-rank tensors—no need to debias

The Annals of statistics, 2022-04, Vol.50 (2), p.1220

2022

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Mode-wise principal subspace pursuit and matrix spiked covariance model

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-09

2024

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Core shrinkage covariance estimation for matrix-variate data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-02, Vol.85 (5), p.1659-1679

2024

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NONPARAMETRIC COVARIANCE ESTIMATION FOR MIXED LONGITUDINAL STUDIES, WITH APPLICATIONS IN MIDLIFE WOMEN’S HEALTH

Statistica Sinica, 2022-01, Vol.32 (1), p.345-365

2022

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Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2023-09, Vol.85 (4), p.1069-1070

2023

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Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference

IEEE transactions on information theory, 2022-09, Vol.68 (9), p.5975-6002

2022

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Exact clustering in tensor block model: Statistical optimality and computational limit

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-11, Vol.84 (5), p.1666-1698

2022

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Sharp RIP bound for sparse signal and low-rank matrix recovery

Applied and computational harmonic analysis, 2013-07, Vol.35 (1), p.74-93

2013

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High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis

Biometrika, 2022-06, Vol.109 (2), p.405-420

2022

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On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization

Mathematics of operations research, 2024-05, Vol.49 (2), p.782-825

2024

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A Schatten-q low-rank matrix perturbation analysis via perturbation projection error bound

Linear algebra and its applications, 2021-12, Vol.630, p.225-240

2021

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Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration

IEEE transactions on information theory, 2022-06, Vol.68 (6), p.3991-4019

2022

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REGRESSION ANALYSIS FOR MICROBIOME COMPOSITIONAL DATA

The annals of applied statistics, 2016-06, Vol.10 (2), p.1019-1040

2016

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Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models

Journal of the American Medical Informatics Association : JAMIA, 2024-11, Vol.31 (11), p.2529-2539

2024

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Heteroskedastic PCA: Algorithm, optimality, and applications

The Annals of statistics, 2022-02, Vol.50 (1), p.53

2022

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CROSS: EFFICIENT LOW-RANK TENSOR COMPLETION

The Annals of statistics, 2019-04, Vol.47 (2), p.936-964

Zhang, Anru

2019

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Denoising atomic resolution 4D scanning transmission electron microscopy data with tensor singular value decomposition

Ultramicroscopy, 2020-12, Vol.219 (C), p.113123-113123, Article 113123

2020

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Tensor SVD: Statistical and Computational Limits

IEEE transactions on information theory, 2018-11, Vol.64 (11), p.7311-7338

2018

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Compressed Sensing and Affine Rank Minimization Under Restricted Isometry

IEEE transactions on signal processing, 2013-07, Vol.61 (13), p.3279-3290

2013

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Longitudinal changes in neurocognitive performance related to drug use intensity in a sample of persons with and without HIV who use illicit stimulants

Drug and alcohol dependence, 2023-10, Vol.251, p.110923-110923, Article 110923

2023

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Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data

Neural computation, 2023-12, Vol.36 (1), p.107-127

2023

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An optimal statistical and computational framework for generalized tensor estimation

Tensor clustering with planted structures: Statistical optimality and computational limits

Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices

Guaranteed Functional Tensor Singular Value Decomposition

Inference for low-rank tensors—no need to debias

Mode-wise principal subspace pursuit and matrix spiked covariance model

Core shrinkage covariance estimation for matrix-variate data

NONPARAMETRIC COVARIANCE ESTIMATION FOR MIXED LONGITUDINAL STUDIES, WITH APPLICATIONS IN MIDLIFE WOMEN’S HEALTH

Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng

Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference

Exact clustering in tensor block model: Statistical optimality and computational limit

Sharp RIP bound for sparse signal and low-rank matrix recovery

High-dimensional log-error-in-variable regression with applications to microbial compositional data analysis

On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization

A Schatten-q low-rank matrix perturbation analysis via perturbation projection error bound

Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration

REGRESSION ANALYSIS FOR MICROBIOME COMPOSITIONAL DATA

Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models

Heteroskedastic PCA: Algorithm, optimality, and applications

CROSS: EFFICIENT LOW-RANK TENSOR COMPLETION

Denoising atomic resolution 4D scanning transmission electron microscopy data with tensor singular value decomposition

Tensor SVD: Statistical and Computational Limits

Compressed Sensing and Affine Rank Minimization Under Restricted Isometry

Longitudinal changes in neurocognitive performance related to drug use intensity in a sample of persons with and without HIV who use illicit stimulants

Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data

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