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An Optimal Hybrid Variance-Reduced Algorithm for Stochastic Composite Nonconvex Optimization


Aug 20, 2020
Deyi Liu, Lam M. Nguyen, Quoc Tran-Dinh

* 6 pages 

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Robust and Generalizable Visual Representation Learning via Random Convolutions


Jul 25, 2020
Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer


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Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems


Jun 27, 2020
Quoc Tran-Dinh, Deyi Liu, Lam M. Nguyen

* 33 pages and 6 figures 

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Randomized Primal-Dual Algorithms for Composite Convex Minimization with Faster Convergence Rates


Mar 03, 2020
Quoc Tran-Dinh, Deyi Liu

* 43, 6 figures 

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A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization


Feb 17, 2020
Deyi Liu, Volkan Cevher, Quoc Tran-Dinh


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