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Thanh Nguyen-Tang
Thanh Nguyen-Tang
Verified email at cs.jhu.edu - Homepage
Title
Cited by
Cited by
Year
Distributional Reinforcement Learning via Moment Matching
T Nguyen-Tang, S Gupta, S Venkatesh
AAAI Conference on Artificial Intelligence (AAAI), 2021
47*2021
Distributionally robust Bayesian quadrature optimization
T Nguyen, S Gupta, H Ha, S Rana, S Venkatesh
International Conference on Artificial Intelligence and Statistics, 1921-1931, 2020
322020
Bayesian Optimization with Unknown Search Space
H Ha, S Rana, S Gupta, T Nguyen-Tang, H Tran-The, S Venkatesh
Advances in Neural Information Processing Systems (NeurIPS), 2019
272019
Markov Information Bottleneck: Information Flows in Stochastic Neural Networks
T Nguyen-Tang, J Choi
Entropy, Special Issue on Information Bottleneck: Theory and Applications in …, 2019
26*2019
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks
T Nguyen-Tang, S Gupta, TT Hung, S Venkatesh
Transactions of Machine Learning Research (TMLR), 2022
19*2022
Offline neural contextual bandits: Pessimism, optimization and generalization
T Nguyen-Tang, S Gupta, AT Nguyen, S Venkatesh
International Conference on Learning Representations (ICLR), 2021
182021
On instance-dependent bounds for offline reinforcement learning with linear function approximation
T Nguyen-Tang, M Yin, S Gupta, S Venkatesh, R Arora
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9310-9318, 2023
112023
TIPI: Test Time Adaptation with Transformation Invariance
AT Nguyen, T Nguyen-Tang, SN Lim, PHS Torr
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
112023
Learning Fractional White Noises in Neural Stochastic Differential Equations
A Tong, T Nguyen-Tang, T Tran, J Choi
Advances in Neural Information Processing Systems (NeurIPS), 2022
72022
Viper: Provably efficient algorithm for offline RL with neural function approximation
T Nguyen-Tang, R Arora
arXiv preprint arXiv:2302.12780, 2023
6*2023
Domain Generalization with Interpolation Robustness
R Palakkadavath, T Nguyen-Tang, S Gupta, S Venkatesh
NeurIPS 2022 Workshop on INTERPOLATE (Spotlight), 2022
4*2022
Two-Stage Neural Contextual Bandits for Personalised News Recommendation
M Zhang, T Nguyen-Tang, F Wu, Z He, X Xie, CS Ong
arXiv preprint arXiv:2206.14648, 2022
32022
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond
T Nguyen-Tang, R Arora
Advances in Neural Information Processing Systems 36, 2024
12024
Optimistic rates for multi-task representation learning
A Watkins, E Ullah, T Nguyen-Tang, R Arora
Advances in Neural Information Processing Systems 36, 2024
12024
Offline Multitask Representation Learning for Reinforcement Learning
H Ishfaq, T Nguyen-Tang, S Feng, R Arora, M Wang, M Yin, D Precup
arXiv preprint arXiv:2403.11574, 2024
2024
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
A Do, T Nguyen-Tang, R Arora
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
Clean-label Backdoor Attacks by Selectively Poisoning with Limited Information from Target Class
N Hung-Quang, NH Nguyen, T Nguyen-Tang, H Thanh-Tung, KD Doan
NeurIPS 2023 Workshop on Backdoors in Deep Learning-The Good, the Bad, and …, 2023
2023
SigFormer: Signature Transformers for Deep Hedging
A Tong, T Nguyen-Tang, D Lee, T Tran, J Choi
4th ACM International Conference on AI in Finance (ICAIF) (Oral), 2023
2023
Posterior Sampling via Langevin Monte Carlo for Offline Reinforcement Learning
T Nguyen-Tang, M Yin, M Uehara, YX Wang, M Wang, R Arora
2023
Fair Domain Generalization with Arbitrary Sensitive Attributes
R Palakkadavath, H Le, T Nguyen-Tang, S Venkatesh, S Gupta
2023
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Articles 1–20