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
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
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
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
Combinatorial inference for graphical models
M Neykov, J Lu, H Liu
The Annals of Statistics 47 (2), 795-827, 2019
Post-regularization inference for time-varying nonparanormal graphical models
J Lu, M Kolar, H Liu
Journal of Machine Learning Research, 2018
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
Nonparametric heterogeneity testing for massive data
J Lu, G Cheng, H Liu
arXiv preprint arXiv:1601.06212, 2016
Robust scatter matrix estimation for high dimensional distributions with heavy tails
F Han, J Lu, H Liu
Technical report, Princeton University, 2014
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
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
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
Post-regularization inference for dynamic nonparanormal graphical models
J Lu, M Kolar, H Liu
arXiv preprint arXiv:1512.08298, 2015
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), 1-7, 2021
Inter-subject analysis: Inferring sparse interactions with dense intra-graphs
C Ma, J Lu, H Liu
arXiv preprint arXiv:1709.07036, 2017
Post-regularization confidence bands for high dimensional nonparametric models with local sparsity
J Lu, M Kolar, H Liu
arXiv preprint arXiv:1503.02978, 2015
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Články 1–20