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An Efficient Algorithm for Deep Stochastic Contextual Bandits


Apr 22, 2021
Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

* Accepted by AAAI 2021 Appendix uploaded 

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Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods


Mar 13, 2021
Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi


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Federated Nonconvex Sparse Learning


Dec 31, 2020
Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi


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Effective Proximal Methods for Non-convex Non-smooth Regularized Learning


Oct 01, 2020
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

* Accepted by ICDM 2020, 24 pages 

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Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data


Sep 14, 2020
Qianqian Tong, Guannan Liang, Jinbo Bi

* 42 pages 

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Towards Plausible Differentially Private ADMM Based Distributed Machine Learning


Aug 11, 2020
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

* Comments: Accepted for publication in CIKM'20 

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Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM


Sep 11, 2019
Qianqian Tong, Guannan Liang, Jinbo Bi


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Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance


Aug 02, 2019
Qianqian Tong, Guannan Liang, Jinbo Bi


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