| Accelerating stochastic gradient descent using predictive variance reduction R Johnson, T Zhang Advances in neural information processing systems 26, 2013 | 2622 | 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 | 1591 | 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 | 1320 | 2004 |
| Text mining: predictive methods for analyzing unstructured information SM Weiss, N Indurkhya, T Zhang, F Damerau Springer Science & Business Media, 2010 | 1126 | 2010 |
| Stochastic dual coordinate ascent methods for regularized loss minimization S Shalev-Shwartz, T Zhang arXiv preprint arXiv:1209.1873, 2012 | 1098 | 2012 |
| Effective use of word order for text categorization with convolutional neural networks R Johnson, T Zhang arXiv preprint arXiv:1412.1058, 2014 | 1013 | 2014 |
| Nonlinear learning using local coordinate coding K Yu, T Zhang, Y Gong Advances in neural information processing systems 22, 2009 | 915 | 2009 |
| Statistical behavior and consistency of classification methods based on convex risk minimization T Zhang The Annals of Statistics 32 (1), 56-85, 2004 | 898 | 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 | 786 | 2014 |
| A proximal stochastic gradient method with progressive variance reduction L Xiao, T Zhang SIAM Journal on Optimization 24 (4), 2057-2075, 2014 | 744 | 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 | 681 | 2010 |
| Learning with structured sparsity J Huang, T Zhang, D Metaxas Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 639 | 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 | 627 | 2003 |
| The epoch-greedy algorithm for multi-armed bandits with side information J Langford, T Zhang Advances in neural information processing systems 20, 2007 | 625 | 2007 |
| Deep pyramid convolutional neural networks for text categorization R Johnson, T Zhang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 583 | 2017 |
| 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 | 564 | 2012 |
| Analysis of multi-stage convex relaxation for sparse regularization. T Zhang Journal of Machine Learning Research 11 (3), 2010 | 534 | 2010 |
| 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 | 530 | 2013 |
| The benefit of group sparsity J Huang, T Zhang The Annals of Statistics 38 (4), 1978-2004, 2010 | 527 | 2010 |
| Rank-one approximation to high order tensors T Zhang, GH Golub SIAM Journal on Matrix Analysis and Applications 23 (2), 534-550, 2001 | 523 | 2001 |
