Weijie J. Su

Cited by

	All	Since 2016
Citations	1442	1361
h-index	14	14
i10-index	17	17

560

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420

2014201520162017201820192020202113 44 96 144 230 319 559 10

Co-authors

Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
Malgorzata BogdanUniversity of WroclawVerified email at uwr.edu.pl
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Ewout van den BergIBM T.J. Watson Research CenterVerified email at us.ibm.com
Chiara SabattiProfessor of Biomedical Data Science and of Statistics, Stanford UniversityVerified email at stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Zhiqi BuUniversity of PennsylvaniaVerified email at sas.upenn.edu
Jinshuo DongUniversity of PennsylvaniaVerified email at sas.upenn.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Hangfeng HePh.D. Candidate of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Li ZhangGoogleVerified email at google.com
Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Qi LongProfessor of Biostatistics, University of PennsylvaniaVerified email at upenn.edu
Jason M. KlusowskiAssistant Professor, Department of Operations Research & Financial EngineeringVerified email at princeton.edu
Cynthia RushColumbia UniversityVerified email at columbia.edu
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Lucas JansonAssistant Professor, Harvard University Department of StatisticsVerified email at fas.harvard.edu
Alexej GossmannU.S. Food and Drug AdministrationVerified email at fda.hhs.gov
Edward I GeorgeProfessor of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Arun Kumar KuchibhotlaCarnegie Mellon UniversityVerified email at cmu.edu

Weijie J. Su

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

Verified email at wharton.upenn.edu - Homepage

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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
SLOPE is adaptive to unknown sparsity and asymptotically minimax W Su, E Candes Annals of Statistics 44 (3), 1038-1068, 2016	110	2016
False discoveries occur early on the lasso path W Su, M Bogdan, E Candes The Annals of Statistics 45 (5), 2133-2150, 2017	109	2017
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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