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Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel


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

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

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A Maximum Entropy approach to Massive Graph Spectra


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

* 12 pages. 9 Figures 

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Radial Bayesian Neural Networks: Robust Variational Inference In Big Models


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


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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

* 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 

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On the Limitations of Representing Functions on Sets


Jan 25, 2019
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael Osborne

* Submitted to the International Conference on Machine Learning (2019) for review 

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Batch Selection for Parallelisation of Bayesian Quadrature


Dec 04, 2018
Ed Wagstaff, Saad Hamid, Michael Osborne


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Intersectionality: Multiple Group Fairness in Expectation Constraints


Nov 25, 2018
Jack Fitzsimons, Michael Osborne, Stephen Roberts

* NeurIPS (previously NIPS) 2018, Workshop on Ethical, Social and Governance Issues in AI 

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Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness


Oct 10, 2018
Jack Fitzsimons, AbdulRahman Al Ali, Michael Osborne, Stephen Roberts

* 8 pages, 2 figures, 1 page references, 1 page appendix 

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Entropic Spectral Learning in Large Scale Networks


Apr 18, 2018
Diego Granziol, Binxin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts

* 11 pages, 8 figures 

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VBALD - Variational Bayesian Approximation of Log Determinants


Feb 21, 2018
Diego Granziol, Edward Wagstaff, Bin Xin Ru, Michael Osborne, Stephen Roberts


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Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World


Nov 23, 2017
Pengfei Zhang, Ido Nevat, Gareth W. Peters, Wolfgang Fruehwirt, Yongchao Huang, Ivonne Anders, Michael Osborne

* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

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Entropic Trace Estimates for Log Determinants


Apr 24, 2017
Jack Fitzsimons, Diego Granziol, Kurt Cutajar, Michael Osborne, Maurizio Filippone, Stephen Roberts

* 16 pages, 4 figures, 2 tables, 2 algorithms 

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Bayesian Inference of Log Determinants


Apr 05, 2017
Jack Fitzsimons, Kurt Cutajar, Michael Osborne, Stephen Roberts, Maurizio Filippone

* 12 pages, 3 figures 

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GLASSES: Relieving The Myopia Of Bayesian Optimisation


Oct 21, 2015
Javier González, Michael Osborne, Neil D. Lawrence

* 12 pages, 9 figures 

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Anomaly Detection and Removal Using Non-Stationary Gaussian Processes


Jul 02, 2015
Steven Reece, Roman Garnett, Michael Osborne, Stephen Roberts

* 9 pages, 14 figures 

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Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space


May 12, 2014
Jan-Peter Calliess, Michael Osborne, Stephen Roberts

* This preprint is an extended version of a conference paper that is to appear in \textit{Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014)} 

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Communication Communities in MOOCs


Apr 16, 2014
Nabeel Gillani, Rebecca Eynon, Michael Osborne, Isis Hjorth, Stephen Roberts

* 10 pages, 3 figures, 1 table. Submitted for review to UAI 2014 

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