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Title
Cited by
Cited by
Year
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
1042017
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
872017
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
562017
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
522020
Bayesian optimization for accelerating hyper-parameter tuning
V Nguyen
IEEE Second International Conference on Artificial Intelligence and …, 2019
502019
Budgeted batch bayesian optimization
V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh
IEEE International Conference on Data Mining (ICDM), 1107-1112, 2016
44*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
432014
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
362020
Exploration Enhanced Expected Improvement for Bayesian Optimization
J Berk, V Nguyen, S Gupta, S Rana, S Venkatesh
European Conference on Machine Learning (ECML), 2018
342018
Knowing the what but not the where in Bayesian optimization
V Nguyen, MA Osborne
International Conference on Machine Learning (ICML), 7317-7326, 2020
292020
Nonparametric budgeted stochastic gradient descent
T Le, V Nguyen, TD Nguyen, D Phung
Artificial Intelligence and Statistics (AISTATS), 654-572, 2016
282016
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
282016
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
Quantum device fine-tuning using unsupervised embedding learning
NM van Esbroeck, DT Lennon, H Moon, V Nguyen, F Vigneau, ...
New Journal of Physics, 2020
222020
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
212018
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
192022
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
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
192018
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
192017
Accelerating experimental design by incorporating experimenter hunches
C Li, S Rana, S Gupta, V Nguyen, S Venkatesh, A Sutti, D Rubin, T Slezak, ...
IEEE International Conference on Data Mining (ICDM), 257--266, 2018
182018
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