Publications


Filters:


Results for: Vu Nguyen

Exploration Enhanced Expected Improvement for Bayesian Optimization

J. Berk, V. Nguyen, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 621 - 637 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

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

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Filtering Bayesian optimization approach in weakly specified search space

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

2018 / pp. 1 - 29 / Knowledge and Information Systems

Discriminative Bayesian Nonparametric Clustering.

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

2017 / pp. 2550 - 2556 / IJCAI

High Dimensional Bayesian Optimization Using Dropout

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

2017 / pp. 2096 - 2102 / International Joint Conference on Artificial Intelligence

Bayesian Optimization of Superalloy Designs

J. Licavoli, P. Sanders, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh

2017 / 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)

Bayesian Optimization with Monotonicity Information

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

2017 / Workshop on Bayesian optimization at neural information processing systems (NIPSW).

Distance Exploration for Scalable Batch Bayesian Optimization

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

2017 / 31st Conference on Neural Information Processing Systems

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)

Predictive Variance Reduction Search

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

2017 / Workshop on Bayesian Optimization at Neural Information Processing Systems (NIPS).

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

A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process

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

2017 / Vol. 28, pp. 396 - 417 / Pervasive and Mobile Computing

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)