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Understanding Gradient Clipping in Private SGD: A Geometric Perspective

Jun 27, 2020
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong

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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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ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

Oct 16, 2019
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox

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Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Sep 30, 2019
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May Obelilly

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Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms

Jun 06, 2019
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong

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On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

Aug 08, 2018
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong

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