| 2022 | AAAI | Same State, Different Task: Continual Reinforcement Learning without Interference. | Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts |
| 2022 | AISTATS | Marginalising over Stationary Kernels with Bayesian Quadrature. | Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts |
| 2022 | ICASSP | Uncertainty Estimation with a VAE-Classifier Hybrid Model. | Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts |
| 2022 | ICLR | Robust and Scalable SDE Learning: A Functional Perspective. | Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts |
| 2022 | ICLR | Revisiting Design Choices in Offline Model Based Reinforcement Learning. | Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts |
| 2022 | ICML | Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. | Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya eliktutan |
| 2021 | AISTATS | Learning Bijective Feature Maps for Linear ICA. | Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts |
| 2021 | AISTATS | Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. | Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth |
| 2021 | ICLR | Improving VAEs' Robustness to Adversarial Attack. | Matthew Willetts, Alexander Camuto, Tom Rainforth, Stephen J. Roberts, Christopher C. Holmes |
| 2021 | ICML | Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. | Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts |
| 2021 | UAI | Hierarchical Indian buffet neural networks for Bayesian continual learning. | Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts |
| 2020 | AISTATS | Adversarial Robustness Guarantees for Classification with Gaussian Processes. | Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts |
| 2020 | ESANN | Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. | Bernardo Prez Orozco, Stephen J. Roberts |
| 2020 | ICASSP | Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. | Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schnborn, Niki Trigoni, Stephen J. Roberts |
| 2020 | ICML | Ready Policy One: World Building Through Active Learning. | Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts |
| 2020 | ICML | Bayesian Optimisation over Multiple Continuous and Categorical Inputs. | Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts |
| 2019 | ICLR | WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. | Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts |
| 2019 | ICML | Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. | Ahsan S. Alvi, Bin Xin Ru, Jan-Peter Calliess, Stephen J. Roberts, Michael A. Osborne |
| 2018 | AAAI | Novel Exploration Techniques (NETs) for Malaria Policy Interventions. | Oliver Bent, Sekou L. Remy, Stephen J. Roberts, Aisha Walcott-Bryant |
| 2018 | ICML | Optimization, Fast and Slow: Optimally Switching between Local and Bayesian Optimization. | Mark McLeod, Stephen J. Roberts, Michael A. Osborne |
| 2018 | KDD | Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. | Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts |
| 2018 | UAI | Improved Stochastic Trace Estimation using Mutually Unbiased Bases. | Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph Francis Fitzsimons |
| 2017 | AISTATS | Distribution of Gaussian Process Arc Lengths. | Justin Bewsher, Alessandra Tosi, Michael A. Osborne, Stephen J. Roberts |
| 2017 | UAI | Bayesian Inference of Log Determinants. | Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts |
| 2016 | AISTATS | Latent Point Process Allocation. | Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts, Tom Nickson |
| 2015 | ICML | Variational Inference for Gaussian Process Modulated Poisson Processes. | Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts |
| 2015 | ICML | Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes. | Yves-Laurent Kom Samo, Stephen J. Roberts |
| 2015 | WWW | Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. | Edwin Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings |
| 2014 | UAI | Efficient Bayesian Nonparametric Modelling of Structured Point Processes. | Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts |
| 2013 | HCOMP | Interpretation of Crowdsourced Activities Using Provenance Network Analysis. | Trung Dong Huynh, Mark Ebden, Matteo Venanzi, Sarvapali D. Ramchurn, Stephen J. Roberts, Luc Moreau |
| 2013 | SoCS | Multi-Agent Planning with Mixed-Integer Programming and Adaptive Interaction Constraint Generation (Extended Abstract). | Jan-P. Calliess, Stephen J. Roberts |
| 2012 | AAAI | Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics. | Jan-Peter Calliess, Michael Alan Osborne, Stephen J. Roberts |
| 2012 | ICDM | Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory. | Mark Smith, Steven Reece, Stephen J. Roberts, Iead Rezek |
| 2011 | FUSION | Determining intent using hard/soft data and Gaussian process classifiers. | Steven Reece, Stephen J. Roberts, David Nicholson, Chris M. Lloyd |
| 2010 | AINA | Active Data Selection for Sensor Networks with Faults and Changepoints. | Michael A. Osborne, Roman Garnett, Stephen J. Roberts |
| 2010 | FUSION | An introduction to Gaussian processes for the Kalman filter expert. | Steven Reece, Stephen J. Roberts |
| 2009 | FUSION | Multi-sensor fault recovery in the presence of known and unknown fault types. | Steven Reece, Stephen J. Roberts, Christopher Claxton, David Nicholson |
| 2009 | ICML | Sequential Bayesian prediction in the presence of changepoints. | Roman Garnett, Michael A. Osborne, Stephen J. Roberts |
| 2008 | ICPR | On-line novelty detection using the Kalman filter and extreme value theory. | Hyoungjoo Lee, Stephen J. Roberts |
| 2008 | IDEAL | Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. | Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan |
| 2008 | PERCOM | Information Agents for Pervasive Sensor Networks. | Alex Rogers, Mike Osborne, Sarvapali D. Ramchurn, Stephen J. Roberts, Nicholas R. Jennings |
| 2007 | AAAI | A Multi-Dimensional Trust Model for Heterogeneous Contract Observations. | Steven Reece, Stephen J. Roberts, Alex Rogers, Nicholas R. Jennings |
| 2006 | BMVC | Optimizing and Learning for Super-resolution. | Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman |
| 2006 | FUSION | Computational Mechanism Design for Information Fusion within Sensor Networks. | Alex Rogers, Rajdeep K. Dash, Nick R. Jennings, Steven Reece, Stephen J. Roberts |
| 2006 | ICASSP | Nonlinear, Biophysically-Informed Speech Pathology Detection. | Max A. Little, Patrick E. McSharry, Irene M. Moroz, Stephen J. Roberts |
| 2005 | ECCB | Data-adaptive test statistics for microarray data. | Sach Mukherjee, Stephen J. Roberts, Mark J. van der Laan |
| 2005 | ICMLA | Depth of anaesthesia assessment with generative polyspectral models. | Iead Rezek, Stephen J. Roberts, Ellini Siva, R. Conradt |
| 2003 | AISTATS | Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. | Iead Rezek, Stephen J. Roberts, Peter Sykacek |
| 2001 | ICANN | Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo. | Stephen J. Roberts, Christopher C. Holmes, Dave Denison |
| 2001 | ICANN | Mixtures of Independent Component Analysers. | Stephen J. Roberts, William D. Penny |
| 2001 | ICANN | A Probabilistic Approach to High-Resolution Sleep Analysis. | Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner |
| 1999 | IJCNN | Neural networks for predicting Kaposi's sarcoma. | Dirk Husmeier, Gillian S. Patton, Myra O. McClure, John R. W. Harris, Stephen J. Roberts |
| 1999 | IJCNN | Dynamic logistic regression. | William D. Penny, Stephen J. Roberts |
| 1999 | IJCNN | EEG-based communication via dynamic neural network models. | William D. Penny, Stephen J. Roberts |
| 1996 | ICPR | Scale-space unsupervised cluster analysis. | Stephen J. Roberts |