Robin Ru
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2020
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2018
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru*, Xingchen Wan*, Xiaowen Dong, Michael Osborne
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Revisiting the Train Loss: an Efficient Performance Estimator for Neural Architecture Search
Binxin Ru*, Clare Lyle*, Lisa Schut, Mark van der Wilk, Yarin Gal
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Neural Architecture Generator Optimization
Binxin Ru, Pedro Esperanca, Fabio Carlucci
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Code
Poster
A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
PDF
Poster
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru*, Ahsan Alvi*, Vu Nguyen, Michael Osborne, Stephen Roberts
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Code
Slides
BayesOpt Adversarial Attack
Ru Binxin, Cobb Adam, Blaas Arno, Yarin Gal
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Code
MEMe: An Accu- rate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning
Binxin Ru*, Diego Granziol*, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts
PDF
How does mini-batching affect Curvature information for second order deep learning optimization?
Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry Vetrov, BinXin Ru, Sebastien Ehrhardt, Andrew Gordon Wilson, Stefan Zohren, Stephen Roberts
PDF
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
Binxin Ru*, Ahsan Alvi*, Jan Calliess, Stephen Roberts, Michael Osborne
PDF
Code
Slides
Fast Information-theoretic Bayesian Optimisation
Binxin Ru, Mark McLeod, Diego Granziol, Michael Osborne
PDF
Code
Poster
Entropic Spectral Learning in Large Scale Networks
Diego Granziol*, Binxin Ru*, Stefan Zohren, Xiaowen Dong,
Michael A. Osborne
,
Stephen Roberts
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