Trang H. Tran

According to our database, Trang H. Tran authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adjusted Shuffling SARAH: Advancing Complexity Analysis via Dynamic Gradient Weighting.

Duc Toan Nguyen, Trang H. Tran, Lam M. Nguyen

CoRR, June, 2025

Stochastic ISTA/FISTA Adaptive Step Search Algorithms for Convex Composite Optimization.

Lam M. Nguyen, Katya Scheinberg, Trang H. Tran

J. Optim. Theory Appl., April, 2025

2024

Shuffling Momentum Gradient Algorithm for Convex Optimization.

Trang H. Tran, Quoc Tran-Dinh, Lam M. Nguyen

CoRR, 2024

Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization.

Quoc Tran-Dinh, Trang H. Tran, Lam M. Nguyen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder.

Duy A. Nguyen, Trang H. Tran, Huy Hieu Pham, Phi Le Nguyen, Lam M. Nguyen

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series.

Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Roman Vaculín

CoRR, 2023

Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach.

Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen

CoRR, 2023

An End-to-End Time Series Model for Simultaneous Imputation and Forecast.

Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung T. Phan, Roman Vaculín, Jayant Kalagnanam

CoRR, 2023

On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms.

Lam M. Nguyen, Trang H. Tran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Finding Optimal Policy for Queueing Models: New Parameterization.

Trang H. Tran, Lam M. Nguyen, Katya Scheinberg

CoRR, 2022

Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution.

Lam M. Nguyen, Trang H. Tran, Marten van Dijk

CoRR, 2022

Nesterov Accelerated Shuffling Gradient Method for Convex Optimization.

Trang H. Tran, Katya Scheinberg, Lam M. Nguyen

Proceedings of the International Conference on Machine Learning, 2022

2021

SMG: A Shuffling Gradient-Based Method with Momentum.

Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Shuffling Gradient-Based Methods with Momentum.

Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh

CoRR, 2020