| High Dimensional Bayesian Optimization Using Dropout C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton International Joint Conference on Artificial Intelligence (IJCAI), 2096-2102, 2017 | 147 | 2017 |
| Bayesian optimization for accelerating hyper-parameter tuning V Nguyen IEEE Second International Conference on Artificial Intelligence and …, 2019 | 121 | 2019 |
| High Dimensional Bayesian Optimization with Elastic Gaussian Process S Rana, C Li, S Gupta, V Nguyen, S Venkatesh International Conference on Machine Learning (ICML), 2883-2891, 2017 | 120 | 2017 |
| Regret for expected improvement over the best-observed value and stopping condition V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Asian Conference on Machine Learning (ACML), 279-294, 2017 | 89 | 2017 |
| Bayesian optimisation over multiple continuous and categorical inputs B Ru, AS Alvi, V Nguyen, MA Osborne, SJ Roberts International Conference on Machine Learning (ICML), 8276-8285, 2020 | 87 | 2020 |
| Retrieval Augmented Classification for Long-Tail Visual Recognition A Long, W Yin, T Ajanthan, V Nguyen, P Purkait, R Garg, A Blair, C Shen, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 76 | 2022 |
| Automated reinforcement learning (autorl): A survey and open problems J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... Journal of Artificial Intelligence Research 74, 517-568, 2022 | 75 | 2022 |
| Provably efficient online hyperparameter optimization with population-based bandits J Parker-Holder, V Nguyen, SJ Roberts Advances in Neural Information Processing Systems 33, 17200-17211, 2020 | 68 | 2020 |
| Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne International Conference on Machine Learning (ICML), 2021 | 54 | 2021 |
| Budgeted batch bayesian optimization V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh IEEE International Conference on Data Mining (ICDM), 1107-1112, 2016 | 53 | 2016 |
| Exploration Enhanced Expected Improvement for Bayesian Optimization J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh European Conference on Machine Learning (ECML), 2018 | 51 | 2018 |
| Knowing the what but not the where in Bayesian optimization V Nguyen, MA Osborne International Conference on Machine Learning (ICML), 7317-7326, 2020 | 45 | 2020 |
| Bayesian nonparametric multilevel clustering with group-level contexts V Nguyen, D Phung, XL Nguyen, S Venkatesh, HH Bui International Conference on Machine Learning (ICML), 288-296, 2014 | 44 | 2014 |
| Quantum device fine-tuning using unsupervised embedding learning NM van Esbroeck, DT Lennon, H Moon, V Nguyen, F Vigneau, ... New Journal of Physics, 2020 | 34 | 2020 |
| Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning S Kessler, V Nguyen, S Zohren, S Roberts Uncertainty in Artificial Intelligence (UAI), 2021 | 31* | 2021 |
| Bayesian optimization for iterative learning V Nguyen, S Schulze, MA Osborne Advances in Neural Information Processing Systems (NeurIPS), 2020 | 31 | 2020 |
| Filtering Bayesian optimization approach in weakly specified search space V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Knowledge and Information Systems 60 (1), 385-413, 2018 | 31 | 2018 |
| Optimal transport kernels for sequential and parallel neural architecture search V Nguyen, T Le, M Yamada, MA Osborne International Conference on Machine Learning (ICML), 8084-8095, 2021 | 29 | 2021 |
| Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation S Gopakumar, S Gupta, S Rana, V Nguyen, S Venkatesh Advances in Neural Information Processing Systems (NeurIPS), 5470-5478, 2018 | 29 | 2018 |
| Accelerating experimental design by incorporating experimenter hunches C Li, S Rana, S Gupta, V Nguyen, S Venkatesh, A Sutti, D Rubin, T Slezak, ... IEEE International Conference on Data Mining (ICDM), 257--266, 2018 | 28 | 2018 |
Svetha VenkateshAlfred Deakin Professor, Deakin University在 deakin.edu.au 的电子邮件经过验证
