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Stephen Roberts

Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs

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May 23, 2019
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Enhancing Time Series Momentum Strategies Using Deep Neural Networks

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Apr 09, 2019
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A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes

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Apr 03, 2019
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WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding

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Mar 18, 2019
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Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction

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Jan 23, 2019
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Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning

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Dec 26, 2018
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Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity

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Dec 13, 2018
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Intersectionality: Multiple Group Fairness in Expectation Constraints

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Nov 25, 2018
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Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods

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Nov 08, 2018
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Semi-unsupervised Learning of Human Activity using Deep Generative Models

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Oct 29, 2018
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