Weijie J. Su
Weijie J. Su
Assistant Professor, Wharton School and Computer Science Department, University of Pennsylvania
Verifierad e-postadress på wharton.upenn.edu - Startsida
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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
6082016
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
2032015
SLOPE is adaptive to unknown sparsity and asymptotically minimax
W Su, E Candes
The Annals of Statistics 44 (3), 1038-1068, 2016
1042016
False discoveries occur early on the lasso path
W Su, M Bogdan, E Candes
The Annals of Statistics 45 (5), 2133-2150, 2017
982017
Statistical estimation and testing via the sorted L1 norm
M Bogdan, E Berg, W Su, E Candes
arXiv preprint arXiv:1310.1969, 2013
652013
Understanding the acceleration phenomenon via high-resolution differential equations
B Shi, SS Du, MI Jordan, WJ Su
arXiv preprint arXiv:1810.08907, 2018
492018
Acceleration via symplectic discretization of high-resolution differential equations
B Shi, SS Du, W Su, MI Jordan
Advances in Neural Information Processing Systems, 5744-5752, 2019
252019
Differentially private false discovery rate control
C Dwork, WJ Su, L Zhang
arXiv preprint arXiv:1807.04209, 2018
24*2018
Familywise error rate control via knockoffs
L Janson, W Su
Electronic Journal of Statistics 10 (1), 960-975, 2016
232016
Gaussian differential privacy
J Dong, A Roth, WJ Su
arXiv preprint arXiv:1905.02383, 2019
222019
Uncertainty Quantification for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
WJ Su, Y Zhu
arXiv preprint arXiv:1802.04876, 2018
22*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
152019
Deep learning with Gaussian differential privacy
Z Bu, J Dong, Q Long, WJ Su
arXiv preprint arXiv:1911.11607, 2019
132019
When is the first spurious variable selected by sequential regression procedures?
WJ Su
Biometrika 105 (3), 517-527, 2018
112018
Assumption lean regression
R Berk, A Buja, L Brown, E George, AK Kuchibhotla, W Su, L Zhao
The American Statistician, 1-17, 2019
102019
Algorithmic analysis and statistical estimation of slope via approximate message passing
Z Bu, J Klusowski, C Rush, W Su
Advances in Neural Information Processing Systems, 9366-9376, 2019
102019
Statistical inference for the population landscape via moment adjusted stochastic gradients
T Liang, W Su
arXiv preprint arXiv:1712.07519, 2017
102017
On Learning Rates and Schr\" odinger Operators
B Shi, WJ Su, MI Jordan
arXiv preprint arXiv:2004.06977, 2020
52020
The local elasticity of neural networks
H He, WJ Su
International Conference on Learning Representations, 2020
52020
The price of competition: Effect size heterogeneity matters in high dimensions
H Wang, Y Yang, WJ Su
arXiv preprint arXiv:2007.00566, 2020
32020
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Artiklar 1–20