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Trang H. Tran

Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization

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Oct 29, 2024
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Shuffling Momentum Gradient Algorithm for Convex Optimization

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Mar 05, 2024
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A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series

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Nov 21, 2023
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Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach

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Jun 11, 2023
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An End-to-End Time Series Model for Simultaneous Imputation and Forecast

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Jun 01, 2023
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Finding Optimal Policy for Queueing Models: New Parameterization

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Jun 21, 2022
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On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms

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Jun 13, 2022
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Nesterov Accelerated Shuffling Gradient Method for Convex Optimization

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Feb 07, 2022
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Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution

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Feb 07, 2022
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Shuffling Gradient-Based Methods with Momentum

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Nov 24, 2020
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