Anru Zhang

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T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaVerifierad e-postadress på wharton.upenn.edu
Rungang HanDuke UniversityVerifierad e-postadress på duke.edu
Yuetian LuoThe University of ChicagoVerifierad e-postadress på uchicago.edu
Pixu ShiDuke UniversityVerifierad e-postadress på duke.edu
Yuchen ZhouDepartment of Statistics, University of Illinois Urbana-ChampaignVerifierad e-postadress på illinois.edu
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityVerifierad e-postadress på princeton.edu
Dong XiaHong Kong University of Science and TechnologyVerifierad e-postadress på ust.hk
Sitan ChenAssistant Professor of Computer Science, Harvard UniversityVerifierad e-postadress på seas.harvard.edu
Yuanzhi LiAssistant Professor at CMUVerifierad e-postadress på andrew.cmu.edu
Hongzhe Li, PhDUniversity of PennsylvaniaVerifierad e-postadress på upenn.edu
Xudong LiProfessor, Fudan UniversityVerifierad e-postadress på fudan.edu.cn
Dylan SmallProfessor of Statistics, University of PennsylvaniaVerifierad e-postadress på wharton.upenn.edu
Hyunseung KangAssociate Professor of Statistics, University of Wisconsin-MadisonVerifierad e-postadress på stat.wisc.edu
Jerry LiUniversity of WashingtonVerifierad e-postadress på cs.washington.edu
Ming YuanColumbia UniversityVerifierad e-postadress på columbia.edu
Sinho ChewiYale UniversityVerifierad e-postadress på yale.edu
Qin MaProfessor, Department of Biomedical Informatics, The Ohio State UniversityVerifierad e-postadress på osumc.edu
Chi ZhangOregon Health & Science UniversityVerifierad e-postadress på ohsu.edu
Yuanpei CaoMachine Learning Engineer, Airbnb IncVerifierad e-postadress på sas.upenn.edu
Shiyi JiangDuke UniversityVerifierad e-postadress på duke.edu

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Anru Zhang

Andra namnAnru R. Zhang

Duke University

Verifierad e-postadress på duke.edu - Startsida

machine learning high-dimensional statistics non-convex optimization biomedical informatics genomics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	356	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	343	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	292	2022
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	283	2013
Tensor SVD: Statistical and computational limits A Zhang, D Xia IEEE Transactions on Information Theory 64 (11), 7311-7338, 2018	250	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	238	2018
Regression analysis for microbiome compositional data P Shi, A Zhang, H Li The Annals of Applied Statistics 10 (2), 1019-1040, 2016	180	2016
ROP: Matrix recovery via rank-one projections TT Cai, A Zhang The Annals of Statistics 43 (1), 102-138, 2015	174	2015
Heteroskedastic PCA: Algorithm, optimality, and applications AR Zhang, TT Cai, Y Wu The Annals of Statistics 50 (1), 53-80, 2022	107	2022
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	105	2022
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	90	2016
Compressed sensing and affine rank minimization under restricted isometry TT Cai, A Zhang IEEE Transactions on Signal Processing 61 (13), 3279-3290, 2013	90	2013
Optimal sparse singular value decomposition for high-dimensional high-order data A Zhang, R Han Journal of the American Statistical Association, 1-34, 2019	87	2019
Cross: Efficient low-rank tensor completion A Zhang The Annals of Statistics 47 (2), 936-964, 2019	86	2019
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	79	2023
Spectral state compression of Markov processes A Zhang, M Wang IEEE Transactions on Information Theory 66 (5), 3201-3231, 2020	72	2020
Semi-supervised inference: General theory and estimation of means A Zhang, LD Brown, TT Cai The Annals of Statistics 47 (5), 2538-2566, 2019	72	2019
On the non‐asymptotic and sharp lower tail bounds of random variables AR Zhang, Y Zhou Stat 9 (1), e314, 2020	70	2020
Sparse and low-rank tensor estimation via cubic sketchings B Hao, A Zhang, G Cheng IEEE Transactions on Information Theory, 2020	64	2020
Spatial mapping of cellular senescence: emerging challenges and opportunities AU Gurkar, AA Gerencser, AL Mora, AC Nelson, AR Zhang, AB Lagnado, ... Nature aging 3 (7), 776-790, 2023	63	2023

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