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Enhancing Time Series Momentum Strategies Using Deep Neural Networks


Apr 09, 2019
Bryan Lim, Stefan Zohren, Stephen Roberts

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A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes


Apr 03, 2019
Daniel Poh, Stephen Roberts, Martin Tegnér

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* 24 pages, 4 figures, journal submission 

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WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding


Mar 18, 2019
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen Roberts

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* 18 pages, appendix included 

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WiSE-VAE: Wide Sample Estimator VAE


Feb 19, 2019
Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen Roberts

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Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction


Jan 23, 2019
Bryan Lim, Stefan Zohren, Stephen Roberts

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Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning


Dec 26, 2018
Babak Mahdavi-Damghani, Konul Mustafayeva, Stephen Roberts, Cristin Buescu

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Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity


Dec 13, 2018
Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen Roberts

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* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Intersectionality: Multiple Group Fairness in Expectation Constraints


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

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

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Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods


Nov 08, 2018
Arnold Salas, Stefan Zohren, Stephen Roberts

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* Manuscript under review by AISTATS 2019 

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Semi-unsupervised Learning of Human Activity using Deep Generative Models


Oct 29, 2018
Matthew Willetts, Aiden Doherty, Stephen Roberts, Chris Holmes

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* 4 pages, 2 figures, conference workshop pre-print 

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