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Binxin Ru
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Cited by
Year
BayesOpt Adversarial Attack
R Binxin, C Adam, B Arno, Y Gal
International Conference on Learning Representations, 2020
51*2020
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
B Ru, X Wan, X Dong, M Osborne
ICLR 2021, 2020
49*2020
Bayesian optimisation over multiple continuous and categorical inputs
B Ru, A Alvi, V Nguyen, MA Osborne, S Roberts
International Conference on Machine Learning, 8276-8285, 2020
472020
Fast Information-theoretic Bayesian Optimisation
B Ru, M McLeod, D Granziol, MA Osborne
International Conference on Machine Learning (ICML) 2018, 2018
432018
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
AS Alvi, B Ru, J Calliess, SJ Roberts, MA Osborne
International Conference on Machine Learning (ICML) 2019, 2019
352019
How powerful are performance predictors in neural architecture search?
C White, A Zela, R Ru, Y Liu, F Hutter
Advances in Neural Information Processing Systems 34, 28454-28469, 2021
222021
Neural architecture generator optimization
R Ru, P Esperanca, FM Carlucci
Advances in Neural Information Processing Systems 33, 12057-12069, 2020
222020
Speedy Performance Estimation for Neural Architecture Search
B Ru, C Lyle, L Schut, M van der Wilk, Y Gal
Advances in Neural Information Processing Systems, 2021, 2021
17*2021
A bayesian perspective on training speed and model selection
C Lyle, L Schut, R Ru, Y Gal, M van der Wilk
Advances in Neural Information Processing Systems 33, 10396-10408, 2020
152020
MEMe: An accurate maximum entropy method for efficient approximations in large-scale machine learning
D Granziol, B Ru, S Zohren, X Dong, M Osborne, S Roberts
Entropy 21 (6), 551, 2019
132019
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
arXiv preprint arXiv:2102.07188, 2021
82021
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
X Wan, H Kenlay, R Ru, A Blaas, MA Osborne, X Dong
Advances in Neural Information Processing Systems 34, 6983-6996, 2021
32021
VBALD-Variational Bayesian approximation of log determinants
D Granziol, E Wagstaff, BX Ru, M Osborne, S Roberts
arXiv preprint arXiv:1802.08054, 2018
32018
On Redundancy and Diversity in Cell-based Neural Architecture Search
X Wan, B Ru, PM Esperanša, Z Li
arXiv preprint arXiv:2203.08887, 2022
22022
Approximate Neural Architecture Search via Operation Distribution Learning
X Wan, B Ru, PM Esparanša, FM Carlucci
Proceedings of the IEEE/CVF Winter Conference on Applications of Computerá…, 2022
22022
Entropic spectral learning for large-scale graphs
D Granziol, B Ru, S Zohren, X Dong, M Osborne, S Roberts
arXiv preprint arXiv:1804.06802, 2018
22018
Bayesian Generational Population-Based Training
X Wan, C Lu, J Parker-Holder, PJ Ball, V Nguyen, B Ru, M Osborne
First Conference on Automated Machine Learning (Main Track), 2022
12022
DARTS without a Validation Set: Optimizing the Marginal Likelihood
M Fil, B Ru, C Lyle, Y Gal
arXiv preprint arXiv:2112.13023, 2021
12021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
K Zhou, L Hong, S Hu, F Zhou, B Ru, J Feng, Z Li
arXiv preprint arXiv:2109.05765, 2021
12021
Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications
D Granziol, B Ru, X Dong, S Zohren, M Osborne, S Roberts
Algorithms 15 (6), 209, 2022
2022
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