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Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Jul 07, 2020
Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee

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Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds

Jun 24, 2020
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee

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De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors

Feb 23, 2020
Arindam Banerjee, Tiancong Chen, Yingxue Zhou

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Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization

Jul 24, 2019
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee

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Distributed Private Online Learning for Social Big Data Computing over Data Center Networks

Feb 21, 2016
Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja

* ICC2016 

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Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks

Feb 01, 2016
Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin

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