Vu Nguyen
TitleCited byYear
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
312014
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
242017
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
212017
Nonparametric budgeted stochastic gradient descent
T Le, V Nguyen, TD Nguyen, D Phung
Artificial Intelligence and Statistics (AISTATS), 654-572, 2016
192016
Budgeted batch bayesian optimization
V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh
IEEE International Conference on Data Mining (ICDM), 1107-1112, 2016
182016
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
172016
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
122016
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
122016
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
122012
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
82017
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
82016
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
72017
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
72016
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
72016
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
72011
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
62016
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
62016
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
62015
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
52017
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Articles 1–20