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Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients


Jul 21, 2021
Huimin Wu, Zhengmian Hu, Bin Gu


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Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features


Jun 16, 2021
Tan Liu, Wu Guo, Bin Gu


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Learning Sampling Policy for Faster Derivative Free Optimization


Apr 09, 2021
Zhou Zhai, Bin Gu, Heng Huang

* arXiv admin note: text overlap with arXiv:1910.09464 by other authors 

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Bidirectional Multiscale Feature Aggregation for Speaker Verification


Apr 01, 2021
Jiajun Qi, Wu Guo, Bin Gu


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Improved Meta-learning training for Speaker Verification


Mar 29, 2021
Yafeng Chen, Wu Guo, Bin Gu


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Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating


Mar 01, 2021
Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

* Accepted by AAAI 2021, 46 pages, 7 figs 

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Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm


Feb 17, 2021
Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang


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Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee


Sep 01, 2020
Junyi Li, Bin Gu, Heng Huang

* submitted to ICML2020 

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Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning


Aug 14, 2020
Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang


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Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data


Aug 14, 2020
Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang


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Fast OSCAR and OWL Regression via Safe Screening Rules


Jun 29, 2020
Runxue Bao, Bin Gu, Heng Huang


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Faster On-Device Training Using New Federated Momentum Algorithm


Feb 06, 2020
Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin. Heng Huang


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Large Batch Training Does Not Need Warmup


Feb 04, 2020
Zhouyuan Huo, Bin Gu, Heng Huang


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Safe Sample Screening for Robust Support Vector Machine


Dec 24, 2019
Zhou Zhai, Bin Gu, Xiang Li, Heng Huang


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Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization


Dec 24, 2019
Wanli Shi, Bin Gu, Xinag Li, Heng Huang

* 12 pages, 9 figures, conference 

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Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization


Jul 29, 2019
Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang


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Scalable Semi-Supervised SVM via Triply Stochastic Gradients


Jul 26, 2019
Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang


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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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Training Neural Networks Using Features Replay


Oct 27, 2018
Zhouyuan Huo, Bin Gu, Heng Huang

* NIPS 2018 Spotlight 

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Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization


Sep 08, 2018
Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

* AAAI 2018 

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Decoupled Parallel Backpropagation with Convergence Guarantee


Jul 21, 2018
Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang

* ICML 2018 

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Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization


Dec 29, 2017
Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

* AAAI 2018 

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Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction


Dec 05, 2016
Bin Gu, Zhouyuan Huo, Heng Huang


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Asynchronous Stochastic Block Coordinate Descent with Variance Reduction


Nov 14, 2016
Bin Gu, Zhouyuan Huo, Heng Huang


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Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction


Sep 29, 2016
Zhouyuan Huo, Bin Gu, Heng Huang


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