Vu Nguyen

发表

Sparse Adaptive Multi-hyperplane Machine

Trung Le, Dinh Q. Phung, Khanh Nguyen, 2016, PAKDD.

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

Flora D. Salim, Dinh Q. Phung, Duc V. Le, 2017, Pervasive Mob. Comput..

Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes

Svetha Venkatesh, Dinh Q. Phung, Vu Nguyen, 2016, PAKDD Workshops.

Lowering the Cost of mission operations: JPL’s mission infrastructure service

Vu Nguyen, Robin Dumas, Christian Hidalgo, 2011 .

High Dimensional Bayesian Optimization using Dropout

Cheng Li, Svetha Venkatesh, Alistair Shilton, 2018, IJCAI.

GoGP: Fast Online Regression with Gaussian Processes

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Approximation Vector Machines for Large-scale Online Learning

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, J. Mach. Learn. Res..

Filtering Bayesian optimization approach in weakly specified search space

Cheng Li, Santu Rana, Vu Nguyen, 2018, Knowledge and Information Systems.

Investigating the use of duration‐based windows and estimation by analogy for COCOMO

Barry Boehm, LiGuo Huang, Vu Nguyen, 2019, J. Softw. Evol. Process..

Nonparametric Budgeted Stochastic Gradient Descent

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, AISTATS.

Indian Buffet Neural Networks for Continual Learning pdf

Stefan Zohren, Stephen Roberts, Vu Nguyen, 2019, ArXiv.

Distributed data augmented support vector machine on Spark

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines

Vallipuram Muthukkumarasamy, Vu Nguyen, G. Leedham, 2007 .

Budgeted Semi-supervised Support Vector Machine

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, UAI.

Cascade Bayesian Optimization

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2016, Australasian Conference on Artificial Intelligence.

Bayesian optimisation in unknown bounded search domains

Santu Rana, Sunil Gupta, Vu Nguyen, 2020, Knowl. Based Syst..

Multiple Kernel Learning with Data Augmentation

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, ACML.

Knowing The What But Not The Where in Bayesian Optimization pdf

Michael A. Osborne, Vu Nguyen, Vu Nguyen, 2019, ICML.

Budgeted Batch Bayesian Optimization

Cheng Li, Svetha Venkatesh, Santu Rana, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data

Mohan Kumar, Svetha Venkatesh, Dinh Q. Phung, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Hierarchical Indian buffet neural networks for Bayesian continual learning

Stefan Zohren, Stephen Roberts, Vu Nguyen, 2019, UAI.

Exploration Enhanced Expected Improvement for Bayesian Optimization

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2018, ECML/PKDD.

High Dimensional Bayesian Optimization with Elastic Gaussian Process

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ICML.

A Bayesian Nonparametric Approach to Multilevel Regression

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2015, PAKDD.

A Bayesian Nonparametric Approach for Multi-label Classification

Cheng Li, Svetha Venkatesh, Santu Rana, 2016, ACML.

Practical Batch Bayesian Optimization for Less Expensive Functions pdf

Cheng Li, Svetha Venkatesh, Santu Rana, 2018, ArXiv.

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

Stephen Roberts, Vu Nguyen, Jack Parker-Holder, 2020, NeurIPS.

One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems

Trung Le, Svetha Venkatesh, Tu Dinh Nguyen, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Dual Space Gradient Descent for Online Learning

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2016, NIPS.

Bayesian Optimization in Weakly Specified Search Space

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Scalable Support Vector Machine for Semi-supervised Learning pdf

Trung Le, Van Nguyen, Dinh Q. Phung, 2016, ArXiv.

One-Shot Bayes Opt with Probabilistic Population Based Training pdf

Stephen Roberts, Vu Nguyen, Jack Parker-Holder, 2020, ArXiv.

Discriminative Bayesian Nonparametric Clustering

Trung Le, Dinh Q. Phung, Vu Nguyen, 2017, IJCAI.

Bayesian Optimisation over Multiple Continuous and Categorical Inputs pdf

Michael A. Osborne, Vu Nguyen, Binxin Ru, 2019, ICML.

Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning

Hui Xiong, Xiao Zhang, Wenzhong Li, 2018, IJCAI.

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ACML.

SECC: Simultaneous extraction of context and community from pervasive signals

Flora D. Salim, Dinh Q. Phung, Nguyen Cong Thuong, 2016, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom).

GoGP: scalable geometric-based Gaussian process for online regression

Trung Le, Tu Dinh Nguyen, Khanh Nguyen, 2018, Knowledge and Information Systems.

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations

Cheng Li, Santu Rana, Sunil Gupta, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling pdf

Antonio Robles-Kelly, Cheng Li, Santu Rana, 2020, ArXiv.

Budgeted Batch Bayesian Optimization With Unknown Batch Sizes pdf

Cheng Li, Svetha Venkatesh, Santu Rana, 2017, ArXiv.

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2018, NeurIPS.

MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data

Svetha Venkatesh, Dinh Q. Phung, Vu Nguyen, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL pdf

Stephen Roberts, Vu Nguyen, Shaan Desai, 2021, NeurIPS.

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces pdf

Michael A. Osborne, Vu Nguyen, Huong Ha, 2021, ICML.

Bayesian Topic Regression for Causal Inference pdf

Vu Nguyen, Maximilian Ahrens, Julian Ashwin, 2021, EMNLP.

Sparkling Vector Machines

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2015 .