Roberts, Stephen J.

38 publications

TMLR 2023 On the Sample Complexity of Lipschitz Constant Estimation Julien Walden Huang, Stephen J. Roberts, Jan-Peter Calliess

CoLLAs 2023 The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler, Mateusz Ostaszewski, MichałPaweł Bortkiewicz, Mateusz Żarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Miłoś

ICMLW 2022 One-Shot Transfer Learning of Physics-Informed Neural Networks Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen J. Roberts

ICLR 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning Cong Lu, Philip Ball, Jack Parker-Holder, Michael Osborne, Stephen J. Roberts

ICLR 2022 Robust and Scalable SDE Learning: A Functional Perspective Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts

AAAI 2022 Same State, Different Task: Continual Reinforcement Learning Without Interference Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts

NeurIPSW 2022 The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning Samuel Kessler, Piotr Miłoś, Jack Parker-Holder, Stephen J. Roberts

ECML-PKDD 2021 Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks Ivan Kiskin, Adam D. Cobb, Marianne Sinka, Kathy Willis, Stephen J. Roberts

UAI 2021 Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts

NeurIPS 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J Roberts

NeurIPS 2020 Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder, Aldo Pacchiano, Krzysztof M Choromanski, Stephen J. Roberts

NeurIPS 2020 Explicit Regularisation in Gaussian Noise Injections Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C Holmes

NeurIPS 2020 Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder, Vu Nguyen, Stephen J. Roberts

UAI 2018 Improved Stochastic Trace Estimation Using Mutually Unbiased Bases Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph Francis Fitzsimons

AAAI 2018 Novel Exploration Techniques (NETs) for Malaria Policy Interventions Oliver Bent, Sekou L. Remy, Stephen J. Roberts, Aisha Walcott-Bryant

ECML-PKDD 2017 Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources Edwin Simpson, Steven Reece, Stephen J. Roberts

UAI 2017 Bayesian Inference of Log Determinants Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts

AISTATS 2017 Distribution of Gaussian Process Arc Lengths Justin Bewsher, Alessandra Tosi, Michael A. Osborne, Stephen J. Roberts

ECML-PKDD 2017 Entropic Trace Estimates for Log Determinants Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts

ECML-PKDD 2017 Optimal Client Recommendation for Market Makers in Illiquid Financial Products Dieter Hendricks, Stephen J. Roberts

JAIR 2016 A Disaster Response System Based on Human-Agent Collectives Sarvapali D. Ramchurn, Trung Dong Huynh, Feng Wu, Yuki Ikuno, Jack Flann, Luc Moreau, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen J. Roberts, Nicholas R. Jennings

AISTATS 2016 Latent Point Process Allocation Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts, Tom Nickson

JMLR 2016 String and Membrane Gaussian Processes Yves-Laurent Kom Samo, Stephen J. Roberts

UAI 2014 Efficient Bayesian Nonparametric Modelling of Structured Point Processes Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts

NeurIPS 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature Tom Gunter, Michael A Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts

NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature Michael Osborne, Roman Garnett, Zoubin Ghahramani, David K. Duvenaud, Stephen J. Roberts, Carl E. Rasmussen

ICML 2009 Sequential Bayesian Prediction in the Presence of Changepoints Roman Garnett, Michael A. Osborne, Stephen J. Roberts

JAIR 2008 On Similarities Between Inference in Game Theory and Machine Learning Iead Rezek, David S. Leslie, Steven Reece, Stephen J. Roberts, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings

AAAI 2007 A Multi-Dimensional Trust Model for Heterogeneous Contract Observations Steven Reece, Stephen J. Roberts, Alex Rogers, Nicholas R. Jennings

NeurIPS 2006 Bayesian Image Super-Resolution, Continued Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman

NeurIPS 2003 A Sampled Texture Prior for Image Super-Resolution Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman

AISTATS 2003 Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals Iead Rezek, Stephen J. Roberts, Peter Sykacek

NeurIPS 2003 Markov Models for Automated ECG Interval Analysis Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts

NeCo 2003 Variational Mixture of Bayesian Independent Component Analyzers Rizwan Choudrey, Stephen J. Roberts

NeurIPS 2002 Adaptive Classification by Variational Kalman Filtering Peter Sykacek, Stephen J. Roberts

NeurIPS 2001 Bayesian Time Series Classification Peter Sykacek, Stephen J. Roberts

NeCo 1999 Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach Richard M. Everson, Stephen J. Roberts

NeCo 1994 A Probabilistic Resource Allocating Network for Novelty Detection Stephen J. Roberts, Lionel Tarassenko