| Distributional Reinforcement Learning via Moment Matching T Nguyen-Tang, S Gupta, S Venkatesh AAAI Conference on Artificial Intelligence (AAAI), 2021 | 38* | 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 | 29 | 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 | 27 | 2019 |
| Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks T Nguyen-Tang, J Choi Entropy, Special Issue on Information Bottleneck: Theory and Applications in …, 2019 | 26* | 2019 |
| 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 | 20* | 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 | 17 | 2021 |
| 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 | 10 | 2023 |
| VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation T Nguyen-Tang, R Arora The Eleventh International Conference on Learning Representations, 2022 | 6* | 2022 |
| 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 |
| Domain Generalization with Interpolation Robustness R Palakkadavath, T Nguyen-Tang, S Gupta, S Venkatesh NeurIPS 2022 Workshop on INTERPOLATE (Spotlight), 2022 | 3* | 2022 |
| 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 |
| Optimistic Rates for Multi-Task Representation Learning A Watkins, E Ullah, T Nguyen-Tang, R Arora Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond T Nguyen-Tang, R Arora Thirty-seventh Conference on Neural Information Processing Systems, 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, ... The Second ICML Workshop on Spurious Correlations, Invariance and Stability, 2023 | | 2023 |
| Global Contrastive Learning for Long-Tailed Classification T Bach, A Tong, TS Hy, V Nguyen, T Nguyen-Tang Transactions of Machine Learning Research (TMLR), 2023 | | 2023 |
| On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency T Nguyen-Tang Alfred Deakin Medal for Doctoral Theses (for the most outstanding theses), 2022 | | 2022 |
| Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support H Tran-The, S Gupta, T Nguyen-Tang, S Rana, S Venkatesh arXiv preprint arXiv:2107.11533, 2021 | | 2021 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityBestätigte E-Mail-Adresse bei deakin.edu.au
