Binxin Ru
Binxin Ru
DPhil Student, University of Oxford
Verified email at robots.ox.ac.uk
Title
Cited by
Cited by
Year
Fast Information-theoretic Bayesian Optimisation
B Ru, M McLeod, D Granziol, MA Osborne
International Conference on Machine Learning (ICML) 2018, 2018
302018
BayesOpt Adversarial Attack
R Binxin, C Adam, B Arno, Y Gal
International Conference on Learning Representations, 2020
25*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
222020
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
172019
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
B Ru, X Wan, X Dong, M Osborne
ICLR 2021, 2020
142020
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
112019
Neural architecture generator optimization
B Ru, P Esperanca, F Carlucci
arXiv preprint arXiv:2004.01395, 2020
102020
Revisiting the train loss: an efficient performance estimator for neural architecture search
B Ru, C Lyle, L Schut, M van der Wilk, Y Gal
arXiv preprint arXiv:2006.04492, 2020
52020
A bayesian perspective on training speed and model selection
C Lyle, L Schut, B Ru, Y Gal, M van der Wilk
arXiv preprint arXiv:2010.14499, 2020
32020
VBALD-Variational Bayesian approximation of log determinants
D Granziol, E Wagstaff, BX Ru, M Osborne, S Roberts
arXiv preprint arXiv:1802.08054, 2018
32018
How Powerful are Performance Predictors in Neural Architecture Search?
C White, A Zela, B Ru, Y Liu, F Hutter
arXiv preprint arXiv:2104.01177, 2021
22021
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
22021
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
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
2021
Attacking Graph Classification via Bayesian Optimisation
X Wan, H Kenlay, B Ru, A Blaas, M Osborne, X Dong
ICML 2021 Workshop on Adversarial Machine Learning, 2021
2021
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning
K Zhou, H Lanqing, F Zhou, B Ru, Z Li, T Niki, J Feng
2020
Don't be picky, all students in the right family can learn from good teachers
RH Eyono, FM Carlucci, PM Esperança, B Ru, P Torr
2020
Entropic Graph Spectrum
D Granziol, B Ru, X Dong, S Zohren, M Osborne, S Roberts
How does mini-batching affect curvature information for second order deep learning optimization?
D Granziol, X Wan, S Zohren, S Roberts, T Garipov, D Vetrov, AG Wilson, ...
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