Tuo Zhao
Cited by
Cited by
Patterns and rates of exonic de novo mutations in autism spectrum disorders
BM Neale, Y Kou, L Liu, A Ma’Ayan, KE Samocha, A Sabo, CF Lin, ...
Nature 485 (7397), 242-245, 2012
The huge package for high-dimensional undirected graph estimation in R
T Zhao, H Liu, K Roeder, J Lafferty, L Wasserman
The Journal of Machine Learning Research 13 (1), 1059-1062, 2012
SMART: Robust and efficient fine-tuning for pre-trained natural language models through principled regularized optimization
H Jiang, P He, W Chen, X Liu, J Gao, T Zhao
arXiv preprint arXiv:1911.03437 (ACL), 2019
A nonconvex optimization framework for low rank matrix estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems 28, 2015
BOND: Bert-assisted open-domain named entity recognition with distant supervision
C Liang, Y Yu, H Jiang, S Er, R Wang, T Zhao, C Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
A Eloyan, J Muschelli, MB Nebel, H Liu, F Han, T Zhao, AD Barber, S Joel, ...
Frontiers in systems neuroscience 6, 61, 2012
Transformer hawkes process
S Zuo, H Jiang, Z Li, T Zhao, H Zha
International conference on machine learning, 11692-11702, 2020
Deep hyperspherical learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
Advances in neural information processing systems 30, 2017
The flare package for high dimensional linear regression and precision matrix estimation in R
X Li, T Zhao, X Yuan, H Liu
Journal of Machine Learning Research, 2015
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
Nonconvex sparse learning via stochastic optimization with progressive variance reduction
X Li, R Arora, H Liu, J Haupt, T Zhao
arXiv preprint arXiv:1605.02711 (ICML), 2016
Efficient approximation of deep relu networks for functions on low dimensional manifolds
M Chen, H Jiang, W Liao, T Zhao
Advances in neural information processing systems 32, 2019
Calibrated multivariate regression with application to neural semantic basis discovery
H Liu, L Wang, T Zhao
Journal of Machine Learning Research, 2015
Accelerated mini-batch randomized block coordinate descent method
T Zhao, M Yu, Y Wang, R Arora, H Liu
Advances in neural information processing systems 27, 2014
Sparse covariance matrix estimation with eigenvalue constraints
H Liu, L Wang, T Zhao
Journal of Computational and Graphical Statistics 23 (2), 439-459, 2014
CODA: High dimensional copula discriminant analysis
F Han, T Zhao, H Liu
Journal of Machine Learning Research, 2013
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
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks?---A Neural Tangent Kernel Perspective
K Huang, Y Wang, M Tao, T Zhao
Advances in neural information processing systems 33, 2698-2709, 2020
Fine-tuning pre-trained language model with weak supervision: A contrastive-regularized self-training approach
Y Yu, S Zuo, H Jiang, W Ren, T Zhao, C Zhang
arXiv preprint arXiv:2010.07835 (NAACL), 2020
Pathwise coordinate optimization for sparse learning: Algorithm and theory
T Zhao, H Liu, T Zhang
The Annals of Statistics 46 (1), 180-218, 2018
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