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Positively Scale-Invariant Flatness of ReLU Neural Networks


Mar 06, 2019
Mingyang Yi, Qi Meng, Wei Chen, Zhi-ming Ma, Tie-Yan Liu


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$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space


Oct 09, 2018
Qi Meng, Wei Chen, Shuxin Zheng, Huishuai Zhang, Qiwei Ye, Zhi-Ming Ma, Tie-Yan Liu


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Target Transfer Q-Learning and Its Convergence Analysis


Sep 21, 2018
Yue Wang, Qi Meng, Wei Cheng, Yuting Liug, Zhi-Ming Ma, Tie-Yan Liu


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Capacity Control of ReLU Neural Networks by Basis-path Norm


Sep 19, 2018
Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu


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Differential Equations for Modeling Asynchronous Algorithms


May 08, 2018
Li He, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu


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Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling


Sep 29, 2017
Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu


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Asynchronous Stochastic Gradient Descent with Delay Compensation


Jun 14, 2017
Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhi-Ming Ma, Tie-Yan Liu

* International Conference on Machine Learning. 2017: 4120-4129 
* 20 pages, 5 figures 

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A Communication-Efficient Parallel Algorithm for Decision Tree


Nov 04, 2016
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Tie-Yan Liu


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Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction


Sep 27, 2016
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu


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Generalization Error Bounds for Optimization Algorithms via Stability


Sep 27, 2016
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu


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