Anru Zhang
Zitiert von
Zitiert von
Sparse representation of a polytope and recovery of sparse signals and low-rank matrices
TT Cai, A Zhang
IEEE transactions on information theory 60 (1), 122-132, 2014
Instrumental variables estimation with some invalid instruments and its application to Mendelian randomization
H Kang, A Zhang, TT Cai, DS Small
Journal of the American Statistical Association 111 (513), 132-144, 2016
Sharp RIP bound for sparse signal and low-rank matrix recovery
TT Cai, A Zhang
Applied and Computational Harmonic Analysis 35 (1), 74-93, 2013
Tensor SVD: Statistical and computational limits
A Zhang, D Xia
IEEE Transactions on Information Theory 64 (11), 7311-7338, 2018
Rate-optimal perturbation bounds for singular subspaces with applications to high-dimensional statistics
TT Cai, A Zhang
The Annals of Statistics 46 (1), 60-89, 2018
Regression analysis for microbiome compositional data
P Shi, A Zhang, H Li
The Annals of Applied Statistics 10 (2), 1019-1040, 2016
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
S Chen, S Chewi, J Li, Y Li, A Salim, AR Zhang
International Conference on Learning Representations (ICLR), 2022
ROP: Matrix recovery via rank-one projections
TT Cai, A Zhang
The Annals of Statistics 43 (1), 102-138, 2015
Heteroskedastic PCA: Algorithm, optimality, and applications
AR Zhang, TT Cai, Y Wu
The Annals of Statistics 50 (1), 53-80, 2022
Compressed sensing and affine rank minimization under restricted isometry
TT Cai, A Zhang
IEEE Transactions on Signal Processing 61 (13), 3279-3290, 2013
An optimal statistical and computational framework for generalized tensor estimation
R Han, R Willett, AR Zhang
The Annals of Statistics 50 (1), 1-29, 2022
Cross: Efficient low-rank tensor completion
A Zhang
The Annals of Statistics 47 (2), 936-964, 2019
Structured matrix completion with applications to genomic data integration
T Cai, TT Cai, A Zhang
Journal of the American Statistical Association 111 (514), 621-633, 2016
Optimal sparse singular value decomposition for high-dimensional high-order data
A Zhang, R Han
Journal of the American Statistical Association, 1-34, 2019
On the non‐asymptotic and sharp lower tail bounds of random variables
AR Zhang, Y Zhou
Stat 9 (1), e314, 2020
Spectral state compression of Markov processes
A Zhang, M Wang
IEEE Transactions on Information Theory 66 (5), 3201-3231, 2020
Sparse and low-rank tensor estimation via cubic sketchings
B Hao, A Zhang, G Cheng
IEEE Transactions on Information Theory, 2020
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’by Rohe & Zeng
R Han, AR Zhang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data
C Wan, W Chang, Y Zhang, F Shah, X Lu, Y Zang, A Zhang, S Cao, ...
Nucleic acids research 47 (18), e111-e111, 2019
Semi-supervised inference: General theory and estimation of means
A Zhang, LD Brown, TT Cai
The Annals of Statistics 47 (5), 2538-2566, 2019
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