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Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics


Jun 09, 2021
Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

* 15 pages, 12 figures, 3 tables 

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Improved OOD Generalization via Adversarial Training and Pre-training


May 24, 2021
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

* published in ICML2021 

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Reweighting Augmented Samples by Minimizing the Maximal Expected Loss


Mar 16, 2021
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

* published in ICLR2021 
* 14 pages 

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BN-invariant sharpness regularizes the training model to better generalization


Jan 08, 2021
Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

* Published in IJCAI2019 

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Towards Accelerating Training of Batch Normalization: A Manifold Perspective


Jan 08, 2021
Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma


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Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape


Dec 04, 2020
Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma

* 38pages 

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Dynamic of Stochastic Gradient Descent with State-Dependent Noise


Jul 06, 2020
Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu


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Off-policy Learning for Multiple Loggers


Aug 05, 2019
Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin


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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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Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting


Sep 21, 2018
Yue Wang, Wei Chen, Yuting Liu, 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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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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