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Trang H. Tran
Trang H. Tran
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Title
Cited by
Cited by
Year
SMG: A Shuffling Gradient-based Method with Momentum
TH Tran, LM Nguyen, Q Tran-Dinh
International Conference on Machine Learning, 10379-10389, 2021
232021
Nesterov accelerated shuffling gradient method for convex optimization
TH Tran, K Scheinberg, LM Nguyen
International Conference on Machine Learning, 21703-21732, 2022
122022
Finite-sum optimization: A new perspective for convergence to a global solution
LM Nguyen, TH Tran, M van Dijk
arXiv preprint arXiv:2202.03524, 2022
4*2022
On the convergence to a global solution of shuffling-type gradient algorithms
L Nguyen, TH Tran
Advances in Neural Information Processing Systems 36, 2024
22024
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
TH Tran, LM Nguyen, K Yeo, N Nguyen, D Phan, R Vaculin, ...
arXiv preprint arXiv:2306.00778, 2023
22023
Finding Optimal Policy for Queueing Models: New Parameterization
TH Tran, LM Nguyen, K Scheinberg
arXiv preprint arXiv:2206.10073, 2022
22022
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach
AD Nguyen, TH Tran, HH Pham, PL Nguyen, LM Nguyen
arXiv preprint arXiv:2306.06579, 2023
12023
Shuffling Momentum Gradient Algorithm for Convex Optimization
TH Tran, Q Tran-Dinh, LM Nguyen
arXiv preprint arXiv:2403.03180, 2024
2024
Stochastic ISTA/FISTA Adaptive Step Search Algorithms for Convex Composite Optimization
LM Nguyen, K Scheinberg, TH Tran
arXiv preprint arXiv:2402.15646, 2024
2024
Stochastic FISTA Step Search Algorithm for Convex Optimization
TH Tran, LM Nguyen, K Scheinberg
OPT 2023: Optimization for Machine Learning, 2023
2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
TH Tran, LM Nguyen, K Yeo, N Nguyen, R Vaculin
arXiv preprint arXiv:2311.12290, 2023
2023
Stochastic Optimization Methods With Momentum
TH Tran, L Nguyen, K Scheinberg
INFORMS Annual Meeting, 2023
2023
When Machine Learning meets Dynamical Systems: Theory and Applications
L Nguyen, TH Tran, W Zhang, S Das, L Weng
AAAI Conference on Artificial Intelligence, 2023
2023
New Perspective on the Convergence to a Global Solution of Finite-sum Optimization
L Nguyen, TH Tran, M Van Dijk
INFORMS Annual Meeting, 2022
2022
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Articles 1–14