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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

* 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

* 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

* 10 Pages 

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Relaxed-Responsibility Hierarchical Discrete VAEs

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

* 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

* 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

* 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

* 8 pages 

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HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset

Feb 14, 2020
Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts

* Awarded Best Paper at the 2019 NeurIPS ML4D workshop. Accepted at ICASSP 2020 

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Ready Policy One: World Building Through Active Learning

Feb 07, 2020
Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts


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One-Shot Bayes Opt with Probabilistic Population Based Training

Feb 06, 2020
Jack Parker-Holder, Vu Nguyen, Stephen Roberts


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Effective Diversity in Population-Based Reinforcement Learning

Feb 03, 2020
Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts


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Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio

Jan 23, 2020
Bryan Lim, Stefan Zohren, Stephen Roberts


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Safety Guarantees for Planning Based on Iterative Gaussian Processes

Jan 17, 2020
Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen Roberts

* Preprint, shorter version presented in NeurIPS-2019 Workshop on Safety and Robustness in Decision Making 

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MLRG Deep Curvature

Dec 20, 2019
Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry Vetrov, Stephen Roberts

* 11 pages, 11 figures 

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A Maximum Entropy approach to Massive Graph Spectra

Dec 19, 2019
Diego Granziol, Robin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts

* 12 pages. 9 Figures 

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Indian Buffet Neural Networks for Continual Learning

Dec 04, 2019
Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts

* Camera-ready submission 

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Deep Reinforcement Learning for Trading

Nov 22, 2019
Zihao Zhang, Stefan Zohren, Stephen Roberts

* 16 pages, 3 figures 

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Regularising Deep Networks with Deep Generative Models

Oct 11, 2019
Matthew Willetts, Alexander Camuto, Stephen Roberts, Chris Holmes

* 8 pages plus appendix 

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Regularising Deep Networks with DGMs

Sep 25, 2019
Matthew Willetts, Alexander Camuto, Stephen Roberts, Chris Holmes


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Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders

Sep 25, 2019
Matthew Willetts, Stephen Roberts, Chris Holmes


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Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

Sep 09, 2019
Shuyu Lin, Stephen Roberts, Niki Trigoni, Ronald Clark

* 8 pages for main contents and 15 pages for supplemental materials that include data pre-processing, model architectures and more results 

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MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Jun 03, 2019
Diego Granziol, Binxin Ru, Stefan Zohren, Xiaowen Doing, Michael Osborne, Stephen Roberts

* MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy, 21(6), 551 (2019) 
* 18 pages, 3 figures, Published at Entropy 2019: Special Issue Entropy Based Inference and Optimization in Machine Learning 

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Disentangling Improves VAEs' Robustness to Adversarial Attacks

Jun 01, 2019
Matthew Willetts, Alexander Camuto, Stephen Roberts, Chris Holmes


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Robustness Quantification for Classification with Gaussian Processes

May 28, 2019
Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen Roberts

* 10 pages, 3 figures + Appendix 

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

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

* To appear at ICML 2019 Time Series Workshop 

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