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Results for: Vu Nguyen

Sparse adaptive multi-hyperplane machine

K. Nguyen, T. Le, V. Nguyen, D. Phung

2016 / pp. 27 - 39 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems

V. Nguyen, T. Nguyen, T. Le, D. Phung, S. Venkatesh

2016 / pp. 1113 - 1118 / IEEE International Conference on Data Mining (ICDM)

Budgeted Semi-supervised Support Vector Machine.

T. Le, P. Duong, M. Dinh, T. Nguyen, V. Nguyen, D. Q. Phung

2016 / UAI

Think globally act locally: a local strategy for Bayesian optimization

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2016 / Workshop on Bayesian Optimization at Neural Information Processing Systems (NIPS).

Budgeted Batch Bayesian Optimization

V. Nguyen, S. Rana, S. Gupta, C. Li, S. Venkatesh

2016 / pp. 1107 - 1112 / IEEE International Conference on Data Mining (ICDM)

SECC: Simultaneous extraction of context and community from pervasive signals

T. Nguyen, V. Nguyen, F. D. Salim, D. Phung

2016 / pp. 1 - 9 / IEEE International Conference on Pervasive Computing and Communications (PerCom)

Dual space gradient descent for online learning

T. Le, T. Nguyen, V. Nguyen, D. Phung

2016 / pp. 4583 - 4591 / Advances in Neural Information Processing Systems

MCNC: Multi-channel Nonparametric Clustering from Heterogeneous Data

T. Nguyen, V. Nguyen, S. Venkatesh, D. Phung

2016 / pp. 3633 - 3638 / 23rd International Conference on Pattern Recognition (ICPR 2016)

Distributed data augmented support vector machine on spark

T. Nguyen, V. Nguyen, T. Le, D. Phung

2016 / pp. 498 - 503 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data

T. Nguyen, V. Nguyen, T. Nguyen, S. Venkatesh, M. Kumar, D. Phung

2016 / pp. 389 - 398 / 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)

Multiple kernel learning with data augmentation

K. Nguyen, T. Le, V. Nguyen, T. Nguyen, D. Phung

2016 / pp. 49 - 64 / Asian Conference on Machine Learning

Large sample asymptotic for nonparametric mixture model with count data

V. Nguyen, D. Phung, T. Le, S. Venkatesh

2015 / Workshop on Advances in Approximate Bayesian Inference at Neural Information Processing Systems (NIPS)

Topic Model Kernel Classification With Probabilistically Reduced Features

V. Nguyen, D. Phung, S. Venkatesh

2015 / Vol. 13, pp. 323 - 340 / Journal of Data Science