Accelerating stochastic gradient descent using predictive variance reduction R Johnson, T Zhang Advances in neural information processing systems 26, 2013 | 3339 | 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 | 1833 | 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 | 1570 | 2004 |
Text mining: predictive methods for analyzing unstructured information SM Weiss, N Indurkhya, T Zhang, F Damerau Springer Science & Business Media, 2010 | 1260 | 2010 |
Stochastic dual coordinate ascent methods for regularized loss minimization. S Shalev-Shwartz, T Zhang Journal of Machine Learning Research 14 (1), 2013 | 1238 | 2013 |
Effective use of word order for text categorization with convolutional neural networks R Johnson, T Zhang arXiv preprint arXiv:1412.1058, 2014 | 1160 | 2014 |
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 | 1061 | 2014 |
Statistical behavior and consistency of classification methods based on convex risk minimization T Zhang The Annals of Statistics 32 (1), 56-85, 2004 | 1037 | 2004 |
Deep pyramid convolutional neural networks for text categorization R Johnson, T Zhang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 978 | 2017 |
Nonlinear learning using local coordinate coding K Yu, T Zhang, Y Gong Advances in neural information processing systems 22, 2009 | 956 | 2009 |
A proximal stochastic gradient method with progressive variance reduction L Xiao, T Zhang SIAM Journal on Optimization 24 (4), 2057-2075, 2014 | 858 | 2014 |
The epoch-greedy algorithm for multi-armed bandits with side information J Langford, T Zhang Advances in neural information processing systems 20, 2007 | 767 | 2007 |
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 | 715 | 2018 |
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 | 705 | 2010 |
Communication-efficient distributed optimization using an approximate newton-type method O Shamir, N Srebro, T Zhang International conference on machine learning, 1000-1008, 2014 | 694 | 2014 |
Gradient sparsification for communication-efficient distributed optimization J Wangni, J Wang, J Liu, T Zhang Advances in Neural Information Processing Systems 31, 2018 | 689 | 2018 |
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 | 678 | 2013 |
Learning with structured sparsity J Huang, T Zhang, D Metaxas Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 675 | 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 | 663 | 2003 |
Analysis of multi-stage convex relaxation for sparse regularization. T Zhang Journal of Machine Learning Research 11 (3), 2010 | 655 | 2010 |