Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions