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Quoc Tran-Dinh

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Shuffling Momentum Gradient Algorithm for Convex Optimization

Mar 05, 2024
Trang H. Tran, Quoc Tran-Dinh, Lam M. Nguyen

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Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments

Mar 30, 2023
Quoc Tran-Dinh

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Extragradient-Type Methods with $\mathcal{O}(1/k)$ Convergence Rates for Co-Hypomonotone Inclusions

Feb 08, 2023
Quoc Tran-Dinh

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Accelerated Randomized Block-Coordinate Algorithms for Co-coercive Equations and Applications

Jan 08, 2023
Quoc Tran-Dinh

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Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis

Dec 19, 2022
Quoc Tran-Dinh, Marten van Dijk

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Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions

Oct 15, 2021
Quoc Tran-Dinh, Yang Luo

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Federated Learning with Randomized Douglas-Rachford Splitting Methods

Mar 05, 2021
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh

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Shuffling Gradient-Based Methods with Momentum

Nov 24, 2020
Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh

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Convergence Analysis of Homotopy-SGD for non-convex optimization

Nov 20, 2020
Matilde Gargiani, Andrea Zanelli, Quoc Tran-Dinh, Moritz Diehl, Frank Hutter

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Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes

Oct 27, 2020
Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Quoc Tran-Dinh, Phuong Ha Nguyen

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