Tuo Zhao
Cited by
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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
Journal of Machine Learning Research 13 (Apr), 1059-1062, 2012
Deep Hyperspherical Learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
Advances in Neural Information Processing Systems (arXiv:1711.03189), 2017
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems, 559-567, 2015
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
Annual Meeting of the Association for Computational Linguistics (arXiv …, 2019
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
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 16 (1), 553-557, 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
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, 2018 (arXiv:1612.09296), 2016
Stochastic variance reduced optimization for nonconvex sparse learning
X Li, T Zhao, R Arora, H Liu, J Haupt
International Conference on Machine Learning, 2016 (arXiv:1605.02711), 917-925, 2016
Accelerated Mini-batch Randomized Block Coordinate Descent Method
T Zhao, M Yu, Y Wang, R Arora, H Liu
Advances in Neural Information Processing Systems, 3329-3337, 2014
Transformer hawkes process
S Zuo, H Jiang, Z Li, T Zhao, H Zha
International conference on machine learning, 11692-11702, 2020
Sparse Covariance Matrix Estimation with Eigenvalue Constraints
H Liu, L Wang, T Zhao
Journal of Computational and Graphical Statistics 23 (2), 439-459, 2014
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery
H Liu, L Wang, T Zhao
Journal of Machine Learning Research (arXiv:1305.2238) 16, 1579-1606, 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
Coda: High Dimensional Copula Discriminant Analysis
F Han, T Zhao, H Liu
Journal of Machine Learning Research 14 (Feb), 629-671, 2013
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 (arXiv:1908.01842), 2019
Pathwise Coordinate Optimization for Nonconvex Sparse Learning: Algorithm and Theory
T Zhao, H Liu, T Zhang
The Annals of Statistics, 2018 (arXiv:1412.7477), 2014
Sparse Additive Machine
T Zhao, H Liu
Proceedings of the 15th International Conference on Artificial Intelligence …, 2012
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 (arXiv:2002.06262), 2020
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