Artikelen met mandaten voor openbare toegang - Tuo ZhaoMeer informatie
Ergens beschikbaar: 46
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
Mandaten: US National Institutes of Health
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
Mandaten: US National Institutes of Health
Transformer Hawkes Process
S Zuo, H Jiang, Z Li, T Zhao, H Zha
International Conference on Machine Learning, 11692-11702, 2020
Mandaten: US National Science Foundation
A nonconvex optimization framework for low rank matrix estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems 28, 2015
Mandaten: US National Institutes of Health
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
Mandaten: US National Institutes of Health
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
Mandaten: US National Science Foundation, US Department of Defense, US National …
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
Mandaten: US National Institutes of Health, Research Grants Council, Hong Kong
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
Mandaten: US National Science Foundation
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
M Chen, K Huang, T Zhao, M Wang
arXiv preprint arXiv:2302.07194 (ICML), 2023
Mandaten: US National Science Foundation, US Department of Defense
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
Mandaten: US National Science Foundation, US Department of Defense, US National …
Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery
M Chen, H Jiang, W Liao, T Zhao
arXiv preprint arXiv:1908.01842 (IMA Information and Inference), 2019
Mandaten: US National Science Foundation
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
Mandaten: US National Science Foundation
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
Mandaten: US National Science Foundation, US National Institutes of Health
Toward understanding the importance of noise in training neural networks
M Zhou, T Liu, Y Li, D Lin, E Zhou, T Zhao
International Conference on Machine Learning, 7594-7602, 2019
Mandaten: US National Science Foundation
Sparse covariance matrix estimation with eigenvalue constraints
H Liu, L Wang, T Zhao
Journal of Computational and Graphical Statistics 23 (2), 439-459, 2014
Mandaten: US National Institutes of Health
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
Mandaten: US National Institutes of Health
Calibrated multivariate regression with application to neural semantic basis discovery
H Liu, L Wang, T Zhao
Journal of Machine Learning Research, 2015
Mandaten: US National Institutes of Health
Pathwise coordinate optimization for sparse learning: Algorithm and theory
T Zhao, H Liu, T Zhang
The Annals of Statistics 46 (1), 180-218, 2018
Mandaten: US National Science Foundation, US National Institutes of Health
Towards understanding hierarchical learning: Benefits of neural representations
M Chen, Y Bai, JD Lee, T Zhao, H Wang, C Xiong, R Socher
Advances in Neural Information Processing Systems 33, 22134-22145, 2020
Mandaten: US National Science Foundation, US Department of Defense
On faster convergence of cyclic block coordinate descent-type methods for strongly convex minimization
X Li, T Zhao, R Arora, H Liu, M Hong
Journal of Machine Learning Research 18 (184), 1-24, 2018
Mandaten: US National Science Foundation, US National Institutes of Health
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