| 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 | 31 | 2014 |
| 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 | 24 | 2017 |
| 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 | 21 | 2017 |
| Nonparametric budgeted stochastic gradient descent T Le, V Nguyen, TD Nguyen, D Phung Artificial Intelligence and Statistics (AISTATS), 654-572, 2016 | 19 | 2016 |
| Budgeted batch bayesian optimization V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh IEEE International Conference on Data Mining (ICDM), 1107-1112, 2016 | 18 | 2016 |
| Dual Space Gradient Descent for Online Learning T Le, T Nguyen, V Nguyen, D Phung Advances in Neural Information Processing Systems (NIPS), 4583-4591, 2016 | 17 | 2016 |
| A Bayesian nonparametric approach for multi-label classification V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Asian Conference on Machine Learning (ACML), 254-269, 2016 | 12 | 2016 |
| Budgeted Semi-supervised Support Vector Machine. T Le, P Duong, M Dinh, TD Nguyen, V Nguyen, DQ Phung Uncertainty in Artificial Intelligence (UAI), 377-386, 2016 | 12 | 2016 |
| Conditionally dependent Dirichlet processes for modelling naturally correlated data sources D Phung, XL Nguyen, H Bui, V Nguyen, S Venkatesh Deakin University, School of Information Technology, Pattern Recognition and …, 2012 | 12 | 2012 |
| Distributed data augmented support vector machine on spark TD Nguyen, V Nguyen, T Le, D Phung International Conference on Pattern Recognition (ICPR), 2016, 498-503, 2016 | 11* | 2016 |
| Approximation vector machines for large-scale online learning T Le, TD Nguyen, V Nguyen, D Phung The Journal of Machine Learning Research (JMLR) 18 (1), 3962-4016, 2017 | 8 | 2017 |
| SECC: Simultaneous extraction of context and community from pervasive signals T Nguyen, V Nguyen, FD Salim, D Phung IEEE International Conference on Pervasive Computing and Communications …, 2016 | 8 | 2016 |
| 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 | 7 | 2017 |
| One-pass logistic regression for label-drift and large-scale classification on distributed systems V Nguyen, TD Nguyen, T Le, S Venkatesh, D Phung IEEE International Conference on Data Mining (ICDM), 1113-1118, 2016 | 7 | 2016 |
| Multiple kernel learning with data augmentation K Nguyen, T Le, V Nguyen, T Nguyen, D Phung Asian Conference on Machine Learning (ACML), 49-64, 2016 | 7 | 2016 |
| Efficient image segmentation incorporating photometric and geometric information TV Nguyen, T Tran, P Vo, B Le Proceedings of the International MultiConference of Engineers and Computer …, 2011 | 7 | 2011 |
| Cascade Bayesian optimization T Dai Nguyen, S Gupta, S Rana, V Nguyen, S Venkatesh, KJ Deane, ... Australasian Joint Conference on Artificial Intelligence, 268-280, 2016 | 6 | 2016 |
| Mcnc: Multi-channel nonparametric clustering from heterogeneous data TB Nguyen, V Nguyen, S Venkatesh, D Phung International Conference on Pattern Recognition (ICPR), 3633-3638, 2016 | 6 | 2016 |
| Bayesian nonparametric approaches to abnormality detection in video surveillance V Nguyen, D Phung, DS Pham, S Venkatesh Annals of Data Science 2 (1), 21-41, 2015 | 6 | 2015 |
| Bayesian optimization in weakly specified search space V Nguyen, S Gupta, S Rane, C Li, S Venkatesh IEEE International Conference on Data Mining (ICDM), 347-356, 2017 | 5 | 2017 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au