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SafePILCO: a software tool for safe and data-efficient policy synthesis


Aug 07, 2020
Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen Roberts

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* Shorter Version published as a software tool demonstration at QEST 2020 

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Explicit Regularisation in Gaussian Noise Injections


Jul 14, 2020
Alexander Camuto, Matthew Willetts, Umut Şimşekli, Stephen Roberts, Chris Holmes

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* 10 Pages 

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Towards a Theoretical Understanding of the Robustness of Variational Autoencoders


Jul 14, 2020
Alexander Camuto, Matthew Willetts, Stephen Roberts, Chris Holmes, Tom Rainforth

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* 10 Pages 

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Relaxed-Responsibility Hierarchical Discrete VAEs


Jul 14, 2020
Matthew Willetts, Xenia Miscouridou, Stephen Roberts, Chris Holmes

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* 10 Pages 

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On Optimism in Model-Based Reinforcement Learning


Jun 21, 2020
Aldo Pacchiano, Philip Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts

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Deep Learning for Portfolio Optimisation


May 27, 2020
Zihao Zhang, Stefan Zohren, Stephen Roberts

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* 12 pages, 6 figures 

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VIGN: Variational Integrator Graph Networks


Apr 28, 2020
Shaan Desai, Stephen Roberts

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Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)


Apr 08, 2020
Jaleh Zand, Stephen Roberts

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Iterate Averaging Helps: An Alternative Perspective in Deep Learning


Mar 02, 2020
Diego Granziol, Xingchen Wan, Stephen Roberts

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* 9 pages, 8 figures, 21 pages including references and appendix 

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Learning Bijective Feature Maps for Linear ICA


Feb 19, 2020
Alexander Camuto, Matthew Willetts, Brooks Paige, Chris Holmes, Stephen Roberts

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* 8 pages 

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