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Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks

Mar 26, 2020
Bernardo Pérez Orozco, Stephen J Roberts

* To appear at ESANN 2020; 6 pages, 2 figures, 1 link to repo 

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Implicit Priors for Knowledge Sharing in Bayesian Neural Networks

Dec 02, 2019
Jack K Fitzsimons, Sebastian M Schmon, Stephen J Roberts

* 4th workshop on Bayesian Deep Learning (NeurIPS 2019) 
* 5 pages, 2 figures 

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Bayesian Optimisation over Multiple Continuous and Categorical Inputs

Jun 20, 2019
Binxin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J Roberts

* 15 pages, 8 figures 

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Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels

Jan 24, 2019
Matthew Willetts, Stephen J Roberts, Christopher C Holmes

* 8 pages, plus appendix and references 

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BCCNet: Bayesian classifier combination neural network

Nov 29, 2018
Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J Roberts, Katherine Willis, Steven Reece

* Presented at NeurIPS 2018 Workshop on Machine Learning for the Developing World 

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Automated Machine Learning on Big Data using Stochastic Algorithm Tuning

Jul 30, 2014
Thomas Nickson, Michael A Osborne, Steven Reece, Stephen J Roberts


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