Weijie J. Su

Citée par

	Toutes	Depuis 2016
Citations	1443	1362
indice h	14	14
indice i10	17	17

560

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2014201520162017201820192020202113 44 96 144 230 319 559 11

Coauteurs

Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Malgorzata BogdanUniversity of WroclawAdresse e-mail validée de uwr.edu.pl
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordAdresse e-mail validée de stanford.edu
Ewout van den BergIBM T.J. Watson Research CenterAdresse e-mail validée de us.ibm.com
Chiara SabattiProfessor of Biomedical Data Science and of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Zhiqi BuUniversity of PennsylvaniaAdresse e-mail validée de sas.upenn.edu
Jinshuo DongUniversity of PennsylvaniaAdresse e-mail validée de sas.upenn.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonAdresse e-mail validée de cs.washington.edu
Hangfeng HePh.D. Candidate of Computer Science, University of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Li ZhangGoogleAdresse e-mail validée de google.com
Cynthia DworkMicrosoft ResearchAdresse e-mail validée de microsoft.com
Qi LongProfessor of Biostatistics, University of PennsylvaniaAdresse e-mail validée de upenn.edu
Jason M. KlusowskiAssistant Professor, Department of Operations Research & Financial EngineeringAdresse e-mail validée de princeton.edu
Cynthia RushColumbia UniversityAdresse e-mail validée de columbia.edu
Aaron RothProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Lucas JansonAssistant Professor, Harvard University Department of StatisticsAdresse e-mail validée de fas.harvard.edu
Alexej GossmannU.S. Food and Drug AdministrationAdresse e-mail validée de fda.hhs.gov
Edward I GeorgeProfessor of Statistics, University of PennsylvaniaAdresse e-mail validée de wharton.upenn.edu
Arun Kumar KuchibhotlaCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu

Weijie J. Su

Assistant Professor, Wharton School and Computer Science Department, University of Pennsylvania

Adresse e-mail validée de wharton.upenn.edu - Page d'accueil

Machine learning high-dimensional statistics differential privacy optimization multiple hypothesis testing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A differential equation for modeling Nesterov's accelerated gradient method: Theory and insights W Su, S Boyd, E Candes Journal of Machine Learning Research 17 (153), 1-43, 2016	634	2016
SLOPE—adaptive variable selection via convex optimization M Bogdan, E van den Berg, C Sabatti, W Su, EJ Candès The Annals of Applied Statistics 9 (3), 1103, 2015	213	2015
False discoveries occur early on the lasso path W Su, M Bogdan, E Candes The Annals of Statistics 45 (5), 2133-2150, 2017	110	2017
SLOPE is adaptive to unknown sparsity and asymptotically minimax W Su, E Candes Annals of Statistics 44 (3), 1038-1068, 2016	110	2016
Statistical estimation and testing via the sorted L1 norm M Bogdan, E Berg, W Su, E Candes arXiv preprint arXiv:1310.1969, 2013	65	2013
Understanding the acceleration phenomenon via high-resolution differential equations B Shi, SS Du, MI Jordan, WJ Su arXiv preprint arXiv:1810.08907, 2018	57	2018
Gaussian differential privacy J Dong, A Roth, WJ Su arXiv preprint arXiv:1905.02383, 2019	33	2019
Acceleration via symplectic discretization of high-resolution differential equations B Shi, SS Du, WJ Su, MI Jordan arXiv preprint arXiv:1902.03694, 2019	29	2019
Familywise error rate control via knockoffs L Janson, W Su Electronic Journal of Statistics 10 (1), 960-975, 2016	26	2016
Uncertainty Quantification for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent WJ Su, Y Zhu arXiv preprint arXiv:1802.04876, 2018	23*	2018
Group slope–adaptive selection of groups of predictors D Brzyski, A Gossmann, W Su, M Bogdan Journal of the American Statistical Association 114 (525), 419-433, 2019	22	2019
Differentially private false discovery rate control C Dwork, WJ Su, L Zhang arXiv preprint arXiv:1807.04209, 2018	21*	2018
Deep learning with Gaussian differential privacy Z Bu, J Dong, Q Long, WJ Su Harvard Data Science Review 2020 (23), 2020	18	2020
Algorithmic analysis and statistical estimation of slope via approximate message passing Z Bu, J Klusowski, C Rush, W Su arXiv preprint arXiv:1907.07502, 2019	16	2019
Assumption lean regression R Berk, A Buja, L Brown, E George, AK Kuchibhotla, W Su, L Zhao The American Statistician, 1-17, 2019	11	2019
When is the first spurious variable selected by sequential regression procedures? WJ Su Biometrika 105 (3), 517-527, 2018	11	2018
Statistical inference for the population landscape via moment adjusted stochastic gradients T Liang, W Su Journal of the Royal Statistical Society: Series B 81 (2), 431-456, 2019	10	2019
On learning rates and schr\" odinger operators B Shi, WJ Su, MI Jordan arXiv preprint arXiv:2004.06977, 2020	7	2020
The local elasticity of neural networks H He, WJ Su International Conference on Learning Representations, 2020	6	2020
A power analysis for knockoffs with the lasso coefficient-difference statistic A Weinstein, WJ Su, M Bogdan, RF Barber, EJ Candès arXiv preprint arXiv:2007.15346, 2020	4	2020

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