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Thanh Nguyen-Tang
Thanh Nguyen-Tang
Johns Hopkins University
Verifierad e-postadress på cs.jhu.edu - Startsida
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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
252019
Distributionally Robust Bayesian Quadrature Optimization
T Nguyen, S Gupta, H Ha, S Rana, S Venkatesh
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
232020
Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks
T Nguyen-Tang, J Choi
Entropy 21 (10), 976, 2019
23*2019
Distributional Reinforcement Learning via Moment Matching
T Nguyen-Tang, S Gupta, S Venkatesh
AAAI Conference on Artificial Intelligence (AAAI), 2021
22*2021
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks
T Nguyen-Tang, S Gupta, S Venkatesh
Workshop on Reinforcement Learning Theory, ICML, 2021
10*2021
Offline neural contextual bandits: Pessimism, optimization and generalization
T Nguyen-Tang, S Gupta, AT Nguyen, S Venkatesh
International Conference on Learning Representations (ICLR), 2022
72022
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
22022
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
T Nguyen-Tang, M Yin, S Gupta, S Venkatesh, R Arora
AAAI Conference on Artificial Intelligence (AAAI), 2023
12023
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
12022
Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards
T Nguyen-Tang, R Arora
International Conference on Learning Representations (ICLR), 2023
2023
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces
T Nguyen-Tang, S Gupta, TT Hung, S Venkatesh
Transactions of Machine Learning Research (TMLR), 2022
2022
On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency
T Nguyen-Tang
Deakin University, 2022
2022
Improving Domain Generalization with Interpolation Robustness
R Palakkadavath, T Nguyen-Tang, S Gupta, S Venkatesh
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
2022
Contextual Bandits with Reduced Explorations via Logged Data
H Tran-The, T Nguyen-Tang, S Gupta, S Rana, S Venkatesh
arXiv preprint arXiv:2107.11533, 2021
2021
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Artiklar 1–14