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Results for: Trung Le

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

Bayesian Multi-Hyperplane Machine for Pattern Recognition

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

2018 / pp. 609 - 614 / 2018 24th International Conference on Pattern Recognition (ICPR)

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

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

MGAN: Training generative adversarial nets with multiple generators

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

2018 / In International Conference on Learning Representations

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the Web

H. Nguyen, V. Nguyen, T. Nguyen, M. Larsen, B. O'Dea, D. Thanh, T. Le, D. Phung, S. Venkatesh, H. Christensen

2018 / Proceedings of the International Conference on Web Information Systems Engineering (WISE)

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

Discriminative Bayesian Nonparametric Clustering.

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

2017 / pp. 2550 - 2556 / IJCAI

Supervised Restricted Boltzmann Machines.

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

2017 / UAI

Dual discriminator generative adversarial nets

T. Nguyen, T. Le, H. Vu, D. Phung

2017 / pp. 2670 - 2680 / Advances in Neural Information Processing Systems

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

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

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)

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

Nonparametric budgeted stochastic gradient descent

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

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

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

Budgeted Semi-supervised Support Vector Machine.

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

2016 / UAI

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)