Vu Nguyen

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Citations	1042	901
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i10-index	33	28

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Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Jack Parker-HolderResearch Scientist at DeepMindVerified email at google.com
Hung BuiResearch Scientist, Google DeepMindVerified email at google.com
Binxin RuDPhil Student, University of OxfordVerified email at robots.ox.ac.uk
Dino SejdinovicProfessor, University of AdelaideVerified email at adelaide.edu.au
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
G A D BriggsProfessor of Nanomaterials, University of OxfordVerified email at materials.ox.ac.uk
Natalia AresOxford UniversityVerified email at eng.ox.ac.uk
Samuel KesslerUniversity of OxfordVerified email at robots.ox.ac.uk
Stefan ZohrenUniversity of OxfordVerified email at eng.ox.ac.uk
Anton van den HengelDirector of Applied Science at Amazon and Director of the Centre for Augmented Reasoning at AIML.Verified email at adelaide.edu.au
Cong LuUniversity of OxfordVerified email at stats.ox.ac.uk
Xingchen WanDPhil Student, University of Oxford; GoogleVerified email at robots.ox.ac.uk
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence, L3S Research CenterVerified email at ai.uni-hannover.de
André BiedenkappUniversity of FreiburgVerified email at cs.uni-freiburg.de
Yingjie MiaoGoogleVerified email at buffalo.edu
Aleksandra FaustGoogle Brain, Mountain View, CAVerified email at google.com

Vu Nguyen

Amazon

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Bayesian Optimisation Machine Learning AutoML


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High Dimensional Bayesian Optimization Using Dropout C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton International Joint Conference on Artificial Intelligence (IJCAI), 2096-2102, 2017	107	2017
High Dimensional Bayesian Optimization with Elastic Gaussian Process S Rana, C Li, S Gupta, V Nguyen, S Venkatesh International Conference on Machine Learning (ICML), 2883-2891, 2017	86	2017
Regret for expected improvement over the best-observed value and stopping condition V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Asian Conference on Machine Learning (ACML), 279-294, 2017	57	2017
Bayesian optimization for accelerating hyper-parameter tuning V Nguyen IEEE Second International Conference on Artificial Intelligence and …, 2019	55	2019
Bayesian optimisation over multiple continuous and categorical inputs B Ru, AS Alvi, V Nguyen, MA Osborne, SJ Roberts International Conference on Machine Learning (ICML), 8276-8285, 2020	54	2020
Budgeted batch bayesian optimization V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh IEEE International Conference on Data Mining (ICDM), 1107-1112, 2016	43*	2016
Bayesian nonparametric multilevel clustering with group-level contexts V Nguyen, D Phung, XL Nguyen, S Venkatesh, HH Bui International Conference on Machine Learning (ICML), 288-296, 2014	43	2014
Provably efficient online hyperparameter optimization with population-based bandits J Parker-Holder, V Nguyen, SJ Roberts Advances in Neural Information Processing Systems 33, 17200-17211, 2020	40	2020
Exploration Enhanced Expected Improvement for Bayesian Optimization J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh European Conference on Machine Learning (ECML), 2018	34	2018
Knowing the what but not the where in Bayesian optimization V Nguyen, MA Osborne International Conference on Machine Learning (ICML), 7317-7326, 2020	32	2020
Nonparametric budgeted stochastic gradient descent T Le, V Nguyen, TD Nguyen, D Phung Artificial Intelligence and Statistics (AISTATS), 654-572, 2016	28	2016
Dual Space Gradient Descent for Online Learning T Le, T Nguyen, V Nguyen, D Phung Advances in Neural Information Processing Systems (NeurIPS), 4583-4591, 2016	28	2016
Gogp: Fast online regression with gaussian processes T Le, K Nguyen, V Nguyen, TD Nguyen, D Phung IEEE International Conference on Data Mining (ICDM), 257-266, 2017	23*	2017
Filtering Bayesian optimization approach in weakly specified search space V Nguyen, S Gupta, S Rana, C Li, S Venkatesh Knowledge and Information Systems 60 (1), 385-413, 2018	22	2018
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne International Conference on Machine Learning (ICML), 2021	21	2021
Quantum device fine-tuning using unsupervised embedding learning NM van Esbroeck, DT Lennon, H Moon, V Nguyen, F Vigneau, ... New Journal of Physics, 2020	21	2020
Approximation vector machines for large-scale online learning T Le, TD Nguyen, V Nguyen, D Phung The Journal of Machine Learning Research (JMLR) 18 (1), 3962-4016, 2017	21	2017
Automated reinforcement learning (autorl): A survey and open problems J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... Journal of Artificial Intelligence Research 74, 517-568, 2022	19	2022
Optimal transport kernels for sequential and parallel neural architecture search V Nguyen, T Le, M Yamada, MA Osborne International Conference on Machine Learning (ICML), 8084-8095, 2021	19	2021
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning S Kessler, V Nguyen, S Zohren, S Roberts Uncertainty in Artificial Intelligence (UAI), 2021	19*	2021

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