| Distributional Reinforcement Learning via Moment Matching T Nguyen-Tang, S Gupta, S Venkatesh AAAI Conference on Artificial Intelligence (AAAI), 2021 | 53* | 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 | 33 | 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 | 28 | 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 | 28* | 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 | 24* | 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 | 21 | 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 | 16 | 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 | 13 | 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 | 7 | 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 | 6* | 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 | 4 | 2024 |
| Domain Generalization with Interpolation Robustness R Palakkadavath, T Nguyen-Tang, S Gupta, S Venkatesh Asian Conference on Machine Learning (ACML), 2022 | 4* | 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 | 3 | 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 | 3 | 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 | 2 | 2024 |
| On The Statistical Complexity of Offline Decision-Making T Nguyen-Tang, R Arora Forty-first International Conference on Machine Learning, 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 |
| A Cosine Similarity-based Method for Out-of-Distribution Detection N Ngoc-Hieu, N Hung-Quang, TA Ta, T Nguyen-Tang, KD Doan, ... arXiv preprint arXiv:2306.14920, 2023 | | 2023 |
Svetha VenkateshAlfred Deakin Professor, Deakin University在 deakin.edu.au 的电子邮件经过验证
