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Vu Nguyen 0001
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Publications
- 2019
- [j4]Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. 60(1): 197-226 (2019) - 2017
- [j2]Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Approximation Vector Machines for Large-scale Online Learning. J. Mach. Learn. Res. 18: 111:1-111:55 (2017) - [j1]Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Duc Viet Le, Dinh Q. Phung:
A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive Mob. Comput. 38: 396-417 (2017) - [c26]Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: Fast Online Regression with Gaussian Processes. ICDM 2017: 257-266 - [c22]Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui:
Discriminative Bayesian Nonparametric Clustering. IJCAI 2017: 2550-2556 - 2016
- [c21]Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Multiple Kernel Learning with Data Augmentation. ACML 2016: 49-64 - [c19]Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Nonparametric Budgeted Stochastic Gradient Descent. AISTATS 2016: 654-572 - [c17]Thanh-Binh Nguyen, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung:
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. DSAA 2016: 389-398 - [c15]Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung:
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. ICDM 2016: 1113-1118 - [c14]Tu Dinh Nguyen, Vu Nguyen, Trung Le, Dinh Q. Phung:
Distributed data augmented support vector machine on Spark. ICPR 2016: 498-503 - [c12]Thanh-Binh Nguyen, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung:
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. ICPR 2016: 3633-3638 - [c11]Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Dual Space Gradient Descent for Online Learning. NIPS 2016: 4583-4591 - [c10]Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung:
Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) 2016: 27-39 - [c9]Thanh-Binh Nguyen, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. PAKDD Workshops 2016: 128-140 - [c8]Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Dinh Q. Phung:
SECC: Simultaneous extraction of context and community from pervasive signals. PerCom 2016: 1-9 - [c7]Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Budgeted Semi-supervised Support Vector Machine . UAI 2016 - [i3]Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung:
Approximation Vector Machines for Large-scale Online Learning. CoRR abs/1604.06518 (2016) - [i2]Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung:
Scalable Support Vector Machine for Semi-supervised Learning. CoRR abs/1606.06793 (2016) - 2015
- [c6]Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) 2015: 330-342 - 2014
- [c5]Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. ICML 2014: 288-296 - [i1]Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR abs/1401.1974 (2014) - 2013
- [c4]Tien-Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification. ICONIP (2) 2013: 124-131 - [c3]Tien-Vu Nguyen, Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh:
Interactive browsing system for anomaly video surveillance. ISSNIP 2013: 384-389 - 2012
- [c2]Tien-Vu Nguyen, Dinh Q. Phung, Santu Rana, Duc-Son Pham, Svetha Venkatesh:
Multi-modal abnormality detection in video with unknown data segmentation. ICPR 2012: 1322-1325
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