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
292018
BayesOpt Adversarial Attack
R Binxin, C Adam, B Arno, Y Gal
International Conference on Learning Representations, 2020
19*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
162020
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
162019
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
B Ru, X Wan, X Dong, M Osborne
ICLR 2021, 2020
8*2020
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
72019
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
Neural Architecture Generator Optimization
B Ru, P Esperanca, F Carlucci
arXiv preprint arXiv:2004.01395, 2020
22020
VBALD-Variational Bayesian approximation of log determinants
D Granziol, E Wagstaff, BX Ru, M Osborne, S Roberts
arXiv preprint arXiv:1802.08054, 2018
22018
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
12020
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
12018
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
2021
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
2021
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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Articles 1–15