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Results for: Tu Dinh Nguyen

GoGP: scalable geometric-based Gaussian process for online regression

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

2018 / pp. 1 - 30 / Knowledge and Information Systems

Approximation vector machines for large-scale online learning

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

2018 / Vol. 18, pp. 3962 - 4016 / The Journal of Machine Learning Research

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets

D. Nguyen, T. Nguyen, W. Luo, S. Venkatesh

2018 / pp. 361 - 372 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Robust Bayesian kernel machine via stein variational gradient descent for big data

K. Nguyen, T. Le, T. Nguyen, D. Phung, G. I. Webb

2018 / pp. 2003 - 2011 / Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

MGAN: Training generative adversarial nets with multiple generators

Q. Hoang, T. Nguyen, T. Le, D. Phung

2018 / In International Conference on Learning Representations

GoGP: Fast online regression with gaussian processes

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

2017 / pp. 257 - 266 / IEEE International Conference on Data Mining (ICDM)

Large-scale Online Kernel Learning with Random Feature Reparameterization.

T. Nguyen, T. Le, H. Bui, D. Q. Phung

2017 / pp. 2543 - 2549 / IJCAI

Energy-Based Localized Anomaly Detection in Video Surveillance

H. Vu, T. Nguyen, A. Travers, S. Venkatesh, D. Phung

2017 / pp. 641 - 653 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Supervised Restricted Boltzmann Machines.

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

2017 / UAI

Approximation vector machines for large-scale online learning

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

2017 / Vol. 18, pp. 3962 - 4016 / The Journal of Machine Learning Research

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)

Nonparametric budgeted stochastic gradient descent

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

2016 / pp. 654 - 572 / Artificial Intelligence and Statistics

Budgeted Semi-supervised Support Vector Machine.

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

2016 / UAI

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

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

2015 / Vol. 54, pp. 96 - 105 / Journal of Biomedical Informatics