| Accelerating stochastic gradient descent using predictive variance reduction R Johnson, T Zhang Advances in neural information processing systems 26, 315-323, 2013 | 1898 | 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 | 1440 | 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 | 1093 | 2004 |
| Text mining: predictive methods for analyzing unstructured information SM Weiss, N Indurkhya, T Zhang, F Damerau Springer Science & Business Media, 2010 | 977 | 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 | 973 | 2013 |
| Nonlinear learning using local coordinate coding K Yu, T Zhang, Y Gong Advances in neural information processing systems 22, 2223-2231, 2009 | 843 | 2009 |
| Statistical behavior and consistency of classification methods based on convex risk minimization T Zhang Annals of Statistics, 56-85, 2004 | 820 | 2004 |
| Effective use of word order for text categorization with convolutional neural networks R Johnson, T Zhang arXiv preprint arXiv:1412.1058, 2014 | 778 | 2014 |
| A proximal stochastic gradient method with progressive variance reduction L Xiao, T Zhang SIAM Journal on Optimization 24 (4), 2057-2075, 2014 | 642 | 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 | 642 | 2010 |
| Learning with Structured Sparsity. J Huang, T Zhang, D Metaxas Journal of Machine Learning Research 12 (11), 2011 | 606 | 2011 |
| 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 | 587 | 2003 |
| 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 | 528 | 2014 |
| The benefit of group sparsity J Huang, T Zhang The Annals of Statistics 38 (4), 1978-2004, 2010 | 513 | 2010 |
| 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 | 504 | 2012 |
| Sparse Online Learning via Truncated Gradient. J Langford, L Li, T Zhang Journal of Machine Learning Research 10 (3), 2009 | 502 | 2009 |
| The epoch-greedy algorithm for multi-armed bandits with side information J Langford, T Zhang Advances in neural information processing systems, 817-824, 2008 | 499 | 2008 |
| Text categorization based on regularized linear classification methods T Zhang, FJ Oles Information retrieval 4 (1), 5-31, 2001 | 480 | 2001 |
| Rank-one approximation to high order tensors T Zhang, GH Golub SIAM Journal on Matrix Analysis and Applications 23 (2), 534-550, 2001 | 462 | 2001 |
| Adaptive forward-backward greedy algorithm for learning sparse representations T Zhang IEEE transactions on information theory 57 (7), 4689-4708, 2011 | 455* | 2011 |
