Junwei Lu
Junwei Lu
Assistant Professor of Biostatistics, Harvard T.H. Chan School of Public Health
E-mailová adresa ověřena na:
Distributed testing and estimation under sparse high dimensional models
H Battey, J Fan, H Liu, J Lu, Z Zhu
Annals of statistics 46 (3), 1352, 2018
Provable sparse tensor decomposition
WW Sun, J Lu, H Liu, G Cheng
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Distributed estimation and inference with statistical guarantees
H Battey, J Fan, H Liu, J Lu, Z Zhu
arXiv preprint arXiv:1509.05457, 2015
Heteroskedastic and imbalanced deep learning with adaptive regularization
K Cao, Y Chen, J Lu, N Arechiga, A Gaidon, T Ma
arXiv preprint arXiv:2006.15766, 2020
On tighter generalization bound for deep neural networks: Cnns, resnets, and beyond
X Li, J Lu, Z Wang, J Haupt, T Zhao
arXiv preprint arXiv:1806.05159, 2018
Symmetry, saddle points, and global geometry of nonconvex matrix factorization
X Li, Z Wang, J Lu, R Arora, J Haupt, H Liu, T Zhao
arXiv preprint arXiv:1612.09296 1, 5.1-7.1, 2016
Symmetry, saddle points, and global optimization landscape of nonconvex matrix factorization
X Li, J Lu, R Arora, J Haupt, H Liu, Z Wang, T Zhao
IEEE Transactions on Information Theory 65 (6), 3489-3514, 2019
Traction bronchiectasis/bronchiolectasis is associated with interstitial lung abnormality mortality
T Hida, M Nishino, T Hino, J Lu, RK Putman, EF Gudmundsson, T Araki, ...
European journal of radiology 129, 109073, 2020
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data
C Hong, E Rush, M Liu, D Zhou, J Sun, A Sonabend, VM Castro, ...
NPJ digital medicine 4 (1), 151, 2021
Combinatorial inference for graphical models
M Neykov, J Lu, H Liu
The Annals of Statistics 47 (2), 795-827, 2019
Progression of traction bronchiectasis/bronchiolectasis in interstitial lung abnormalities is associated with increased all-cause mortality: Age Gene/Environment Susceptibility …
T Hino, T Hida, M Nishino, J Lu, RK Putman, EF Gudmundsson, A Hata, ...
European Journal of Radiology Open 8, 100334, 2021
Kernel meets sieve: Post-regularization confidence bands for sparse additive model
J Lu, M Kolar, H Liu
Journal of the American Statistical Association 115 (532), 2084-2099, 2020
Post-regularization inference for time-varying nonparanormal graphical models
J Lu, M Kolar, H Liu
Journal of Machine Learning Research 18 (203), 1-78, 2018
Nonparametric heterogeneity testing for massive data
J Lu, G Cheng, H Liu
arXiv preprint arXiv:1601.06212, 2016
Expert-supervised reinforcement learning for offline policy learning and evaluation
A Sonabend, J Lu, LA Celi, T Cai, P Szolovits
Advances in Neural Information Processing Systems 33, 18967-18977, 2020
Robust scatter matrix estimation for high dimensional distributions with heavy tails
F Han, J Lu, H Liu
Technical report, Princeton University, 2014
Interstitial lung abnormalities in patients with stage I non-small cell lung cancer are associated with shorter overall survival: the Boston lung cancer study
T Hida, A Hata, J Lu, VI Valtchinov, T Hino, M Nishino, H Honda, ...
Cancer Imaging 21, 1-7, 2021
Lagrangian inference for ranking problems
Y Liu, EX Fang, J Lu
Operations research 71 (1), 202-223, 2023
Multiview incomplete knowledge graph integration with application to cross-institutional ehr data harmonization
D Zhou, Z Gan, X Shi, A Patwari, E Rush, CL Bonzel, VA Panickan, ...
Journal of Biomedical Informatics 133, 104147, 2022
Post-regularization inference for dynamic nonparanormal graphical models
J Lu, M Kolar, H Liu
arXiv preprint arXiv:1512.08298, 2015
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Články 1–20