Vu Nguyen

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 39

Top Topics

Gaussian Process

Online Learning

Hierarchical Dirichlet Processes

Top Venues

Publications

Julian Berk, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh
Bayesian optimisation in unknown bounded search domains. Knowl. Based Syst. 195 (2020)
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR (2020)
Vu Nguyen
Bayesian Optimization for Accelerating Hyper-Parameter Tuning. AIKE (2019)
Vu Nguyen, Sunil Gupta, Santu Rana, My Thai, Cheng Li, Svetha Venkatesh
Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. ICDM (2019)
Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
GoGP: scalable geometric-based Gaussian process for online regression. Knowl. Inf. Syst. 60 (1) (2019)
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR (2019)
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
Filtering Bayesian optimization approach in weakly specified search space. Knowl. Inf. Syst. 60 (1) (2019)
Julian Berk, Vu Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
Exploration Enhanced Expected Improvement for Bayesian Optimization. ECML/PKDD (2) (2018)
Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. NeurIPS (2018)
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
Practical Batch Bayesian Optimization for Less Expensive Functions. CoRR (2018)
Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. IJCAI (2018)
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM (2018)
Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung
Approximation Vector Machines for Large-scale Online Learning. J. Mach. Learn. Res. 18 (2017)
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
Bayesian Optimization in Weakly Specified Search Space. ICDM (2017)
Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Duc V. Le, Dinh Q. Phung
A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive Mob. Comput. 38 (2017)
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton
High Dimensional Bayesian Optimization using Dropout. IJCAI (2017)
Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
GoGP: Fast Online Regression with Gaussian Processes. ICDM (2017)
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. ACML (2017)
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes. CoRR (2017)
Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh
High Dimensional Bayesian Optimization with Elastic Gaussian Process. ICML (2017)
Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui
Discriminative Bayesian Nonparametric Clustering. IJCAI (2017)
Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh
Budgeted Batch Bayesian Optimization. ICDM (2016)
Thanh-Binh Nguyen, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. ICPR (2016)
Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Q. Phung
Scalable Support Vector Machine for Semi-supervised Learning. CoRR (2016)
Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung
Dual Space Gradient Descent for Online Learning. NIPS (2016)
Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung
Sparse Adaptive Multi-hyperplane Machine. PAKDD (1) (2016)
Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Dinh Q. Phung
SECC: Simultaneous extraction of context and community from pervasive signals. PerCom (2016)
Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Multiple Kernel Learning with Data Augmentation. ACML (2016)
Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung
Approximation Vector Machines for Large-scale Online Learning. CoRR (2016)
Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung
Budgeted Semi-supervised Support Vector Machine . UAI (2016)
Tu Dinh Nguyen, Vu Nguyen, Trung Le, Dinh Q. Phung
Distributed data augmented support vector machine on Spark. ICPR (2016)
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston
Multiple adverse effects prediction in longitudinal cancer treatment. ICPR (2016)
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
A Bayesian Nonparametric Approach for Multi-label Classification. ACML (2016)
Thanh-Binh Nguyen, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. PAKDD Workshops (2016)
Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Kyle J. Deane, Paul G. Sanders
Cascade Bayesian Optimization. Australasian Conference on Artificial Intelligence (2016)
Thanh-Binh Nguyen, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. DSAA (2016)
Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
Nonparametric Budgeted Stochastic Gradient Descent. AISTATS (2016)
Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. ICDM (2016)
Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) (2015)
Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR (2014)