Tong Zhang
Tong Zhang
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Accelerating stochastic gradient descent using predictive variance reduction
R Johnson, T Zhang
Advances in neural information processing systems 26, 2013
A framework for learning predictive structures from multiple tasks and unlabeled data.
RK Ando, T Zhang
Journal of Machine Learning Research 6 (11), 2005
Solving large scale linear prediction problems using stochastic gradient descent algorithms
T Zhang
Proceedings of the twenty-first international conference on Machine learning …, 2004
Text mining: predictive methods for analyzing unstructured information
SM Weiss, N Indurkhya, T Zhang, F Damerau
Springer Science & Business Media, 2010
Stochastic dual coordinate ascent methods for regularized loss minimization.
S Shalev-Shwartz, T Zhang
Journal of Machine Learning Research 14 (1), 2013
Effective use of word order for text categorization with convolutional neural networks
R Johnson, T Zhang
arXiv preprint arXiv:1412.1058, 2014
Statistical behavior and consistency of classification methods based on convex risk minimization
T Zhang
The Annals of Statistics 32 (1), 56-85, 2004
Efficient mini-batch training for stochastic optimization
M Li, T Zhang, Y Chen, AJ Smola
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Nonlinear learning using local coordinate coding
K Yu, T Zhang, Y Gong
Advances in neural information processing systems 22, 2009
Deep pyramid convolutional neural networks for text categorization
R Johnson, T Zhang
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
A proximal stochastic gradient method with progressive variance reduction
L Xiao, T Zhang
SIAM Journal on Optimization 24 (4), 2057-2075, 2014
The epoch-greedy algorithm for multi-armed bandits with side information
J Langford, T Zhang
Advances in neural information processing systems 20, 2007
Image classification using super-vector coding of local image descriptors
X Zhou, K Yu, T Zhang, TS Huang
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
Learning with structured sparsity
J Huang, T Zhang, D Metaxas
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Named entity recognition through classifier combination
R Florian, A Ittycheriah, H Jing, T Zhang
Proceedings of the seventh conference on Natural language learning at HLT …, 2003
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
O Shamir, T Zhang
International conference on machine learning, 71-79, 2013
Communication-efficient distributed optimization using an approximate newton-type method
O Shamir, N Srebro, T Zhang
International conference on machine learning, 1000-1008, 2014
Fully decentralized multi-agent reinforcement learning with networked agents
K Zhang, Z Yang, H Liu, T Zhang, T Basar
International Conference on Machine Learning, 5872-5881, 2018
Gradient sparsification for communication-efficient distributed optimization
J Wangni, J Wang, J Liu, T Zhang
Advances in Neural Information Processing Systems 31, 2018
The benefit of group sparsity
J Huang, T Zhang
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