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All publications by Shenghuo Zhu
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Theory of Dual-sparse Regularized Randomized Reduction
Tianbao Yang, Lijun Zhang, Rong Jin and Shenghuo Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin and Shenghuo Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu and Zhi-hua Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Deep Learning of Invariant Features via Simulated Fixations in Video
Will Zou, Shenghuo Zhu, Kai Yu and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu and Jinfeng Yi
Advances in Neural Information Processing Systems 25, 2012


Deep Coding Network
Yuanqing Lin, Zhang Tong, Shenghuo Zhu and Kai Yu
Advances in Neural Information Processing Systems 23, 2010


Large-scale collaborative prediction using a nonparametric random effects model
Kai Yu, John D. Lafferty, Shenghuo Zhu and Yihong Gong
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Learning Sparse Markov Network Structure via Ensemble-of-Trees Models
Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee and Ben Taskar
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008


Predictive Matrix-Variate t Models
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 20, 2007