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Thanh Nguyen-Tang
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2020 – today
- 2024
- [c12]Thanh Nguyen-Tang, Raman Arora:
On The Statistical Complexity of Offline Decision-Making. ICML 2024 - [i13]Thanh Nguyen-Tang, Raman Arora
:
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond. CoRR abs/2401.03301 (2024) - [i12]Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang
Offline Multitask Representation Learning for Reinforcement Learning. CoRR abs/2403.11574 (2024) - [i11]Quang H. Nguyen, Nguyen Ngoc-Hieu, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan:
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. CoRR abs/2407.10825 (2024) - [i10]Thanh Nguyen-Tang, Raman Arora:
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms. CoRR abs/2411.00707 (2024) - 2023
- [j2]Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang:
Global Contrastive Learning for Long-Tailed Classification. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora:
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI 2023: 9310-9318 - [c10]Ragja Palakkadavath
Domain Generalization with Interpolation Robustness. ACML 2023: 1039-1054 - [c9]A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr:
TIPI: Test Time Adaptation with Transformation Invariance. CVPR 2023: 24162-24171 - [c8]Anh Tong
SigFormer: Signature Transformers for Deep Hedging. ICAIF 2023: 124-132 - [c7]Thanh Nguyen-Tang, Raman Arora:
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation. ICLR 2023 - [c6]Anh Do, Thanh Nguyen-Tang, Raman Arora:
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits. NeurIPS 2023 - [c5]Thanh Nguyen-Tang, Raman Arora:
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond. NeurIPS 2023 - [c4]Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora:
Optimistic Rates for Multi-Task Representation Learning. NeurIPS 2023 - [i9]Thanh Nguyen-Tang, Raman Arora
Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards. CoRR abs/2302.12780 (2023) - [i8]Hieu Ngoc Nguyen, Nguyen Hung-Quang, The-Anh Ta, Thanh Nguyen-Tang, Khoa D. Doan, Hoang Thanh-Tung:
A Cosine Similarity-based Method for Out-of-Distribution Detection. CoRR abs/2306.14920 (2023) - [i7]Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan M. Tran, Jaesik Choi:
SigFormer: Signature Transformers for Deep Hedging. CoRR abs/2310.13369 (2023) - 2022
- [j1]Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh:
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces. Trans. Mach. Learn. Res. 2022 (2022) - [c3]Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. ICLR 2022 - [c2]Anh Tong, Thanh Nguyen-Tang, Toan M. Tran, Jaesik Choi:
Learning Fractional White Noises in Neural Stochastic Differential Equations. NeurIPS 2022 - [i6]Thanh Nguyen-Tang:
On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency. CoRR abs/2203.01758 (2022) - [i5]Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong:
Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR abs/2206.14648 (2022) - [i4]Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR abs/2211.13208 (2022) - 2021
- [c1]Thanh Nguyen-Tang
Distributional Reinforcement Learning via Moment Matching. AAAI 2021: 9144-9152 - [i3]Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh:
On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. CoRR abs/2103.06671 (2021) - [i2]Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh:
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. CoRR abs/2107.11533 (2021) - [i1]Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh:
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. CoRR abs/2111.13807 (2021)
Coauthor Index
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