Vu Nguyen

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Svetha VenkateshDeakin Distinguished Professor, Deakin UniversityAdresă de e-mail confirmată pe deakin.edu.au
Dinh PhungProfessor, Monash UniversityAdresă de e-mail confirmată pe monash.edu
Michael A OsborneProfessor of Machine Learning, University of OxfordAdresă de e-mail confirmată pe robots.ox.ac.uk
Trung LeFaculty of Information Technology, Monash University, AustraliaAdresă de e-mail confirmată pe monash.edu
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordAdresă de e-mail confirmată pe robots.ox.ac.uk
Jack Parker-HolderGoogle DeepMind, UCLAdresă de e-mail confirmată pe google.com
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Adresă de e-mail confirmată pe adelaide.edu.au
Binxin RuDPhil Student, University of OxfordAdresă de e-mail confirmată pe robots.ox.ac.uk
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideAdresă de e-mail confirmată pe adelaide.edu.au
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchAdresă de e-mail confirmată pe ai.uni-hannover.de
André BiedenkappUniversity of FreiburgAdresă de e-mail confirmată pe cs.uni-freiburg.de
Aleksandra FaustGoogle DeepMind, Mountain View, CAAdresă de e-mail confirmată pe google.com
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyAdresă de e-mail confirmată pe cs.uni-freiburg.de
Xingyou (Richard) SongSenior Research Scientist, Google DeepMindAdresă de e-mail confirmată pe google.com
Theresa EimerRL Team Lead, Leibniz Universität HannoverAdresă de e-mail confirmată pe ai.uni-hannover.de
Hung BuiResearch Scientist, Google DeepMindAdresă de e-mail confirmată pe google.com
Xingchen WanGoogleAdresă de e-mail confirmată pe google.com
Thalaiyasingam AjanthanPluralis Research | Australian National UniversityAdresă de e-mail confirmată pe anu.edu.au
Natalia AresOxford UniversityAdresă de e-mail confirmată pe eng.ox.ac.uk
G A D BriggsProfessor of Nanomaterials, University of OxfordAdresă de e-mail confirmată pe materials.ox.ac.uk

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Vu Nguyen

Senior ML Scientist, Amazon

Adresă de e-mail confirmată pe robots.ox.ac.uk - Pagina de pornire

Bayesian Optimisation Machine Learning AutoML


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Bayesian optimization for accelerating hyper-parameter tuning V Nguyen IEEE Second International Conference on Artificial Intelligence and …, 2019	177	2019
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	161	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	138	2017
Retrieval Augmented Classification for Long-Tail Visual Recognition A Long, W Yin, T Ajanthan, V Nguyen, P Purkait, R Garg, A Blair, C Shen, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022	120	2022
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	112	2020
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	110	2022
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	101	2017
Provably efficient online hyperparameter optimization with population-based bandits J Parker-Holder, V Nguyen, SJ Roberts Advances in Neural Information Processing Systems (NeurIPS) 33, 17200-17211, 2020	90	2020
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	68	2021
Exploration Enhanced Expected Improvement for Bayesian Optimization J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh European Conference on Machine Learning (ECML), 2018	61	2018
Budgeted batch bayesian optimization V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh IEEE International Conference on Data Mining (ICDM), 1107-1112, 2016	56	2016
Knowing the what but not the where in Bayesian optimization V Nguyen, MA Osborne International Conference on Machine Learning (ICML), 7317-7326, 2020	53	2020
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	45	2014
Bayesian optimization for iterative learning V Nguyen, S Schulze, MA Osborne Advances in Neural Information Processing Systems (NeurIPS), 2020	42	2020
Quantum device fine-tuning using unsupervised embedding learning NM van Esbroeck, DT Lennon, H Moon, V Nguyen, F Vigneau, ... New Journal of Physics, 2020	39	2020
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	38	2018
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning S Kessler, V Nguyen, S Zohren, S Roberts Uncertainty in Artificial Intelligence (UAI), 2021	37*	2021
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation S Gopakumar, S Gupta, S Rana, V Nguyen, S Venkatesh Advances in Neural Information Processing Systems (NeurIPS), 5470-5478, 2018	36	2018
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	35	2021
Deep reinforcement learning for efficient measurement of quantum devices V Nguyen, SB Orbell, DT Lennon, H Moon, F Vigneau, LC Camenzind, ... npj Quantum Information 7 (1), 100, 2021	32	2021

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