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AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization


Jul 01, 2021
Feihu Huang, Heng Huang

* 27 pages. Welcome to discuss. arXiv admin note: text overlap with arXiv:2106.11396 

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BiAdam: Fast Adaptive Bilevel Optimization Methods


Jun 30, 2021
Feihu Huang, Heng Huang

* 66 pages, 2 tables. We add the detailed proofs 

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SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients


Jun 30, 2021
Feihu Huang, Junyi Li, Heng Huang

* 18 pages, 5 figures. We add the detailed proofs and correct some typos 

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Bregman Gradient Policy Optimization


Jun 23, 2021
Feihu Huang, Shangqian Gao, Heng Huang

* 18 pages, 3 pages 

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Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning


Jun 21, 2021
Feihu Huang, Junyi Li, Heng Huang

* 21 pages, 8 figures 

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A New Framework for Variance-Reduced Hamiltonian Monte Carlo


Feb 09, 2021
Zhengmian Hu, Feihu Huang, Heng Huang


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Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold


Oct 13, 2020
Feihu Huang, Shangqian Gao, Heng Huang

* 29 pages 

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Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization


Aug 18, 2020
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

* 55 pages 

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Accelerated Stochastic Gradient-free and Projection-free Methods


Aug 10, 2020
Feihu Huang, Lue Tao, Songcan Chen

* Accepted to ICML 2020, 34 pages 

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Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization


Aug 10, 2020
Feihu Huang, Songcan Chen, Heng Huang

* Published in ICML 2019, 43 pages. arXiv admin note: text overlap with arXiv:1907.13463 

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Momentum-Based Policy Gradient Methods


Aug 06, 2020
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

* ICML 2020, 24 pages 

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Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity


Jul 30, 2019
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

* 29 pages, 9 figures and 2 tables. arXiv admin note: text overlap with arXiv:1905.12729 

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Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization


May 29, 2019
Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang

* To Appear in IJCAI 2019 

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Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization


Feb 16, 2019
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

* AAAI-2019, 22 pages 

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Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization


May 14, 2018
Feihu Huang, Songcan Chen

* 24 pages, 11 figures and 4 tables 

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Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization


Jul 26, 2017
Feihu Huang, Songcan Chen, Zhaosong Lu

* 34 pages, 4 figures and 2 tables 

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Linear Convergence of Accelerated Stochastic Gradient Descent for Nonconvex Nonsmooth Optimization


Apr 26, 2017
Feihu Huang, Songcan Chen

* 21 pages, 3 figures and 1 table 

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