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Stephen Roberts

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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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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