Thanh Nguyen-Tang
Thanh Nguyen-Tang
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Geciteerd door
Distributional Reinforcement Learning via Moment Matching
T Nguyen-Tang, S Gupta, S Venkatesh
AAAI Conference on Artificial Intelligence (AAAI), 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
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
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
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
Offline neural contextual bandits: Pessimism, optimization and generalization
T Nguyen-Tang, S Gupta, AT Nguyen, S Venkatesh
International Conference on Learning Representations (ICLR), 2021
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
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
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
Viper: Provably efficient algorithm for offline RL with neural function approximation
T Nguyen-Tang, R Arora
International Conference on Learning Representations (ICLR) (Spotlight), 2023
Optimistic rates for multi-task representation learning
A Watkins, E Ullah, T Nguyen-Tang, R Arora
Advances in Neural Information Processing Systems 36, 2024
Domain Generalization with Interpolation Robustness
R Palakkadavath, T Nguyen-Tang, S Gupta, S Venkatesh
Asian Conference on Machine Learning (ACML), 2022
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
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
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
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
QH Nguyen, N Ngoc-Hieu, TA Ta, T Nguyen-Tang, KS Wong, ...
arXiv preprint arXiv:2407.10825, 2024
On The Statistical Complexity of Offline Decision-Making
T Nguyen-Tang, R Arora
Forty-first International Conference on Machine Learning, 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
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
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
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