Distributional Reinforcement Learning via Moment Matching. - Thanh Nguyen-Tang; Sunil Gupta 001; Svetha Venkatesh (AAAI, 2021)

On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. - Thanh Nguyen-Tang; Sunil Gupta 001; Hung Tran-The; Svetha Venkatesh (CoRR, 2021)

Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. - Hung Tran-The; Sunil Gupta 001; Thanh Nguyen-Tang; Santu Rana; Svetha Venkatesh (CoRR, 2021)

Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. - Thanh Nguyen-Tang; Sunil Gupta 001; A. Tuan Nguyen; Svetha Venkatesh (ICLR, 2022)

Learning Fractional White Noises in Neural Stochastic Differential Equations. - Anh Tong; Thanh Nguyen-Tang; Toan M. Tran; Jaesik Choi (NeurIPS, 2022)

On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency. - Thanh Nguyen-Tang (CoRR, 2022)

Two-Stage Neural Contextual Bandits for Personalised News Recommendation. - Mengyan Zhang 001; Thanh Nguyen-Tang; Fangzhao Wu; Zhenyu He 008; Xing Xie 001; Cheng Soon Ong (CoRR, 2022)

On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces. - Thanh Nguyen-Tang; Sunil Gupta 001; Hung Tran-The; Svetha Venkatesh (Trans. Mach. Learn. Res., 2022)

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. - Thanh Nguyen-Tang; Ming Yin; Sunil Gupta 001; Svetha Venkatesh; Raman Arora (AAAI, 2023)

Domain Generalization with Interpolation Robustness. - Ragja Palakkadavath; Thanh Nguyen-Tang; Hung Le 002; Svetha Venkatesh; Sunil Gupta 001 (ACML, 2023)

TIPI: Test Time Adaptation with Transformation Invariance. - A. Tuan Nguyen; Thanh Nguyen-Tang; Ser-Nam Lim; Philip H. S. Torr (CVPR, 2023)

SigFormer: Signature Transformers for Deep Hedging. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Toan M. Tran; Jaesik Choi (ICAIF, 2023)

VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation. - Thanh Nguyen-Tang; Raman Arora (ICLR, 2023)

Multi-Agent Learning with Heterogeneous Linear Contextual Bandits. - Anh Do; Thanh Nguyen-Tang; Raman Arora (NeurIPS, 2023)

On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond. - Thanh Nguyen-Tang; Raman Arora (NeurIPS, 2023)

Optimistic Rates for Multi-Task Representation Learning. - Austin Watkins; Enayat Ullah; Thanh Nguyen-Tang; Raman Arora (NeurIPS, 2023)

Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards. - Thanh Nguyen-Tang; Raman Arora (CoRR, 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)

Global Contrastive Learning for Long-Tailed Classification. - Thong Bach; Anh Tong; Truong Son Hy; Vu Nguyen; Thanh Nguyen-Tang (Trans. Mach. Learn. Res., 2023)

On The Statistical Complexity of Offline Decision-Making. - Thanh Nguyen-Tang; Raman Arora (ICML, 2024)

Offline Multitask Representation Learning for Reinforcement Learning. - Haque Ishfaq; Thanh Nguyen-Tang; Songtao Feng; Raman Arora; Mengdi Wang; Ming Yin 003; Doina Precup (NeurIPS, 2024)

Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. - Thanh Nguyen-Tang; Raman Arora (NeurIPS, 2024)

Adversarially Robust Multi-task Representation Learning. - Austin Watkins; Thanh Nguyen-Tang; Enayat Ullah; Raman Arora (NeurIPS, 2024)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. - Quang H. Nguyen; Nguyen Ngoc-Hieu; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D. Doan (CoRR, 2024)

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 (ICLR, 2025)

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Duc Nguyen; Toan M. Tran; David Leo Wright Hall; Cheongwoong Kang; Jaesik Choi (ICLR, 2025)

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. - Ragja Palakkadavath; Hung Le 002; Thanh Nguyen-Tang; Sunil Gupta 001; Svetha Venkatesh (WACV, 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; et al. (CoRR, 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, 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, 2025)