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, 315-323, 2013
A framework for learning predictive structures from multiple tasks and unlabeled data
RK Ando, T Zhang
Journal of Machine Learning Research 6 (Nov), 1817-1853, 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 (Feb), 567-599, 2013
Nonlinear learning using local coordinate coding
K Yu, T Zhang, Y Gong
Advances in neural information processing systems, 2223-2231, 2009
Statistical behavior and consistency of classification methods based on convex risk minimization
T Zhang
Annals of Statistics, 56-85, 2004
Effective use of word order for text categorization with convolutional neural networks
R Johnson, T Zhang
arXiv preprint arXiv:1412.1058, 2014
Image classification using super-vector coding of local image descriptors
X Zhou, K Yu, T Zhang, TS Huang
European conference on computer vision, 141-154, 2010
Learning with Structured Sparsity.
J Huang, T Zhang, D Metaxas
Journal of Machine Learning Research 12 (11), 2011
A proximal stochastic gradient method with progressive variance reduction
L Xiao, T Zhang
SIAM Journal on Optimization 24 (4), 2057-2075, 2014
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
The benefit of group sparsity
J Huang, T Zhang
The Annals of Statistics 38 (4), 1978-2004, 2010
Sparse online learning via truncated gradient
J Langford, L Li, T Zhang
Advances in neural information processing systems, 905-912, 2009
A spectral algorithm for learning hidden Markov models
D Hsu, SM Kakade, T Zhang
Journal of Computer and System Sciences 78 (5), 1460-1480, 2012
Text categorization based on regularized linear classification methods
T Zhang, FJ Oles
Information retrieval 4 (1), 5-31, 2001
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
Rank-one approximation to high order tensors
T Zhang, GH Golub
SIAM Journal on Matrix Analysis and Applications 23 (2), 534-550, 2001
The epoch-greedy algorithm for multi-armed bandits with side information
J Langford, T Zhang
Advances in neural information processing systems, 817-824, 2008
Adaptive forward-backward greedy algorithm for learning sparse representations
T Zhang
IEEE transactions on information theory 57 (7), 4689-4708, 2011
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Artículos 1–20