Trang H. Tran

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Global Solution

Gradient Method

Top Venues

Publications

Trang H. Tran, Quoc Tran-Dinh, Lam M. Nguyen
Shuffling Momentum Gradient Algorithm for Convex Optimization. CoRR (2024)
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Roman Vaculín
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series. CoRR (2023)
Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach. CoRR (2023)
Lam Nguyen, Trang H. Tran
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms. NeurIPS (2023)
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung Phan, Roman Vaculín, Jayant Kalagnanam
An End-to-End Time Series Model for Simultaneous Imputation and Forecast. CoRR (2023)
Lam M. Nguyen, Trang H. Tran, Marten van Dijk
Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution. CoRR (2022)
Trang H. Tran, Lam M. Nguyen, Katya Scheinberg
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization. CoRR (2022)
Trang H. Tran, Katya Scheinberg, Lam M. Nguyen
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization. ICML (2022)
Trang H. Tran, Lam M. Nguyen, Katya Scheinberg
Finding Optimal Policy for Queueing Models: New Parameterization. CoRR (2022)
Lam M. Nguyen, Trang H. Tran
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms. CoRR (2022)
Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh
SMG: A Shuffling Gradient-Based Method with Momentum. ICML (2021)
Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh
Shuffling Gradient-Based Methods with Momentum. CoRR (2020)