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Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks


Feb 15, 2021
Cong Fang, Hangfeng He, Qi Long, Weijie J. Su


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Mathematical Models of Overparameterized Neural Networks


Dec 27, 2020
Cong Fang, Hanze Dong, Tong Zhang

* Proceedings of the IEEE, 2021 

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Improved Analysis of Clipping Algorithms for Non-convex Optimization


Oct 29, 2020
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang

* 41 pages, 12 figures, to appear in NeurIPS 2020. arXiv admin note: text overlap with arXiv:1905.11881 by other authors 

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Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks


Jul 03, 2020
Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang


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Convex Formulation of Overparameterized Deep Neural Networks


Nov 18, 2019
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang


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Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations


Oct 25, 2019
Cong Fang, Hanze Dong, Tong Zhang


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A Stochastic Trust Region Method for Non-convex Minimization


Mar 04, 2019
Zebang Shen, Pan Zhou, Cong Fang, Alejandro Ribeiro


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Sharp Analysis for Nonconvex SGD Escaping from Saddle Points


Feb 01, 2019
Cong Fang, Zhouchen Lin, Tong Zhang


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Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack


Dec 29, 2018
Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang


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Lifted Proximal Operator Machines


Nov 05, 2018
Jia Li, Cong Fang, Zhouchen Lin

* Accepted by AAAI 2019 

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SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator


Oct 17, 2018
Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang


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Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation


Feb 27, 2018
Cong Fang, Yameng Huang, Zhouchen Lin


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