Thanh Nguyen-Tang

According to our database, Thanh Nguyen-Tang authored at least 38 papers between 2021 and 2026.

Collaborative distances:

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

2026

On the Use of Iterative Problem Solving for the Traveling Salesperson Problem with Changing Time Window Constraints.

Hy Nguyen, Thanh Nguyen-Tang, Helen Yuliana Angmalisang, Liam Wigney, Frank Neumann

CoRR, April, 2026

Curvature-Aware Safety Restoration In LLMs Fine-Tuning.

Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran

Trans. Mach. Learn. Res., 2026

2025

S-Chain: Structured Visual Chain-of-Thought For Medicine.

Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen

CoRR, October, 2025

Audio-3DVG: Unified Audio - Point Cloud Fusion for 3D Visual Grounding.

Duc Cao-Dinh, Khai Le-Duc, Anh Dao, Bach Phan Tat, Chris Ngo, Duy M. H. Nguyen, Nguyen X. Khanh, Thanh Nguyen-Tang

CoRR, July, 2025

One-Layer Transformers are Provably Optimal for In-context Reasoning and Distributional Association Learning in Next-Token Prediction Tasks.

Quan Nguyen, Thanh Nguyen-Tang

CoRR, May, 2025

MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation.

Khai Le-Duc, Tuyen Tran, Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang, Hung-Phong Tran, Thanh-Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo, Nguyen X. Khanh, Thanh Nguyen-Tang

CoRR, April, 2025

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains.

Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Online Optimization for Offline Safe Reinforcement Learning.

Yassine Chemingui, Aryan Deshwal, Alan Fern, Thanh Nguyen-Tang, Jana Doppa

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Policy-Regret Minimization in Markov Games with Function Approximation.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning.

Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan M. Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks.

Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Federated Domain Generalization with Latent Space Inversion.

Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta

Proceedings of the IEEE International Conference on Data Mining, 2025

MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation.

Khai Le-Duc, Tuyen Tran, Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang Anh, Hung-Phong Tran, Thanh Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo, Nguyen X. Khanh, Thanh Nguyen-Tang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder.

Khai Le-Duc, Phuc Phan, Tan-Hanh Pham, Bach Phan Tat, Minh-Huong Ngo, Thanh Nguyen-Tang, Truong-Son Hy

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks.

Quang H. Nguyen, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan

CoRR, 2024

Adversarially Robust Multi-task Representation Learning.

Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Offline Multitask Representation Learning for Reinforcement Learning.

Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

On The Statistical Complexity of Offline Decision-Making.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Global Contrastive Learning for Long-Tailed Classification.

Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang

Trans. Mach. Learn. Res., 2023

A Cosine Similarity-based Method for Out-of-Distribution Detection.

Hieu Ngoc Nguyen, Nguyen Hung-Quang, The-Anh Ta, Thanh Nguyen-Tang, Khoa D. Doan, Hoang Thanh-Tung

CoRR, 2023

Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards.

Thanh Nguyen-Tang, Raman Arora

CoRR, 2023

Optimistic Rates for Multi-Task Representation Learning.

Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora

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

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond.

Thanh Nguyen-Tang, Raman Arora

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

Multi-Agent Learning with Heterogeneous Linear Contextual Bandits.

Anh Do, Thanh Nguyen-Tang, Raman Arora

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

VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation.

Thanh Nguyen-Tang, Raman Arora

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SigFormer: Signature Transformers for Deep Hedging.

Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan M. Tran, Jaesik Choi

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

TIPI: Test Time Adaptation with Transformation Invariance.

A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Domain Generalization with Interpolation Robustness.

Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta

Proceedings of the Asian Conference on Machine Learning, 2023

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation.

Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces.

Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh

Trans. Mach. Learn. Res., 2022

Two-Stage Neural Contextual Bandits for Personalised News Recommendation.

Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong

CoRR, 2022

On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency.

Thanh Nguyen-Tang

CoRR, 2022

Learning Fractional White Noises in Neural Stochastic Differential Equations.

Anh Tong, Thanh Nguyen-Tang, Toan M. Tran, Jaesik Choi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization.

Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support.

Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh

CoRR, 2021

On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks.

Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh

CoRR, 2021

Distributional Reinforcement Learning via Moment Matching.

Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021