Michael Osborne

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel

Jun 13, 2020
Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne

Figure 2 for Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel

Figure 3 for Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel

Figure 4 for Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel

* 8 pages, 4 figures (21 pages, 13 figures including references and appendices)

Access Paper or Ask Questions

A Maximum Entropy approach to Massive Graph Spectra

Dec 19, 2019
Diego Granziol, Robin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts

Figure 2 for A Maximum Entropy approach to Massive Graph Spectra

Figure 3 for A Maximum Entropy approach to Massive Graph Spectra

Figure 4 for A Maximum Entropy approach to Massive Graph Spectra

* 12 pages. 9 Figures

Access Paper or Ask Questions

Radial Bayesian Neural Networks: Robust Variational Inference In Big Models

Jul 01, 2019
Sebastian Farquhar, Michael Osborne, Yarin Gal

Figure 2 for Radial Bayesian Neural Networks: Robust Variational Inference In Big Models

Figure 3 for Radial Bayesian Neural Networks: Robust Variational Inference In Big Models

Figure 4 for Radial Bayesian Neural Networks: Robust Variational Inference In Big Models

Access Paper or Ask Questions

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Jun 03, 2019
Diego Granziol, Binxin Ru, Stefan Zohren, Xiaowen Doing, Michael Osborne, Stephen Roberts

Figure 2 for MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Figure 3 for MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Figure 4 for MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

* MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy, 21(6), 551 (2019)
* 18 pages, 3 figures, Published at Entropy 2019: Special Issue Entropy Based Inference and Optimization in Machine Learning

Access Paper or Ask Questions