Stephen J. Roberts

278 papers A* 25A 24B 9C 9Misc 2Journal 161Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BioDCASE 2026 Challenge Baseline for Cross-Domain Mosquito Species Classification. CoRR Yuanbo Hou, Vanja Zdravkovic, Marianne Sinka, Yunpeng Li, Wenwu Wang, Mark D. Plumbley, Kathy Willis, Stephen J. Roberts
2026	J	`jnl`	DeePM: Regime-Robust Deep Learning for Systematic Macro Portfolio Management. CoRR Kieran Wood, Stephen J. Roberts, Stefan Zohren
2026	J	`jnl`	MADE: Benchmark Environments for Closed-Loop Materials Discovery. CoRR Shreshth A. Malik, Tiarnan A. S. Doherty, Panagiotis Tigas, Muhammed Razzak, Stephen J. Roberts, Aron Walsh, Yarin Gal
2026	J	`jnl`	Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks. CoRR Kunihiro Miyazaki, Takanobu Kawahara, Stephen J. Roberts, Stefan Zohren
2026	J	`jnl`	Training instabilities favor flatter solutions in gradient descent. Neural Networks Lawrence Wang, Stephen J. Roberts
2025	J	`jnl`	Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers. CoRR Taniya Kapoor, Abhishek Chandra, Anastasios Stamou, Stephen J. Roberts
2025	J	`jnl`	Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements. CoRR Shreshth A. Malik, Tiarnan A. S. Doherty, Benjamin Colmey, Stephen J. Roberts, Yarin Gal, Paul A. Midgley
2025	J	`jnl`	Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning. CoRR James Pedley, Benjamin Etheridge, Stephen J. Roberts, Francesco Quinzan
2025	J	`jnl`	Standardized low-resolution brain electromagnetic tomography does not improve EEG Alzheimer's disease assessment. NeuroImage Wolfgang Fruehwirt, Martin Mairhofer, Andreas Hahn, Heinrich Garn, Markus Waser, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Dieter Grossegger, Stephen J. Roberts, Georg Dorffner
2025	J	`jnl`	Training Instabilities Induce Flatness Bias in Gradient Descent. CoRR Lawrence Wang, Stephen J. Roberts
2024	J	`jnl`	Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. Nat. Mac. Intell. Harry Coppock, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Kieran Baker, Jobie Budd, Richard Payne, Emma Karoune, David Hurley, Alexander Titcomb, Sabrina Egglestone, Ana Tendero Cañadas, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven G. Gilmour, Stephen J. Roberts, Christopher C. Holmes
2024	J	`jnl`	Can Stability be Detrimental? Better Generalization through Gradient Descent Instabilities. CoRR Lawrence Wang, Stephen J. Roberts
2024	J	`jnl`	Deep Learning for Options Trading: An End-To-End Approach. CoRR Wee Ling Tan, Stephen J. Roberts, Stefan Zohren
2023	J	`jnl`	Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies. CoRR Kieran Wood, Samuel Kessler, Stephen J. Roberts, Stefan Zohren
2023	J	`jnl`	Learning to Learn Financial Networks for Optimising Momentum Strategies. CoRR Xingyue Pu, Stefan Zohren, Stephen J. Roberts, Xiaowen Dong
2023	J	`jnl`	Network Momentum across Asset Classes. CoRR Xingyue Pu, Stephen J. Roberts, Xiaowen Dong, Stefan Zohren
2023	A*	`conf`	Nonparametric Boundary Geometry in Physics Informed Deep Learning. NeurIPS Scott Alexander Cameron, Arnu Pretorius, Stephen J. Roberts
2023	J	`jnl`	On Sequential Bayesian Inference for Continual Learning. CoRR Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
2023	J	`jnl`	On Sequential Bayesian Inference for Continual Learning. Entropy Samuel Kessler, Adam D. Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts
2023	J	`jnl`	On the Sample Complexity of Lipschitz Constant Estimation. Trans. Mach. Learn. Res. Julien Walden Huang, Stephen J. Roberts, Jan-Peter Calliess
2023	J	`jnl`	SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters. CoRR Lawrence Wang, Stephen J. Roberts
2023	J	`jnl`	Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies. CoRR Wee Ling Tan, Stephen J. Roberts, Stefan Zohren
2023	—	`conf`	The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos
2022	J	`jnl`	A large-scale and PCR-referenced vocal audio dataset for COVID-19. CoRR Jobie Budd, Kieran Baker, Emma Karoune, Harry Coppock, Selina Patel, Ana Tendero Cañadas, Alexander Titcomb, Richard Payne, David Hurley, Sabrina Egglestone, Lorraine Butler, Jonathon Mellor, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Radka Jersakova, Rachel A. McKendry, Peter Diggle, Sylvia Richardson, Björn W. Schuller, Steven Gilmour, Davide Pigoli, Stephen J. Roberts, Josef Packham, Tracey Thornley, Chris C. Holmes
2022	J	`jnl`	Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. CoRR Harry Coppock, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Kieran Baker, Jobie Budd, Richard Payne, Emma Karoune, David Hurley, Alexander Titcomb, Sabrina Egglestone, Ana Tendero Cañadas, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven Gilmour, Stephen J. Roberts, Chris C. Holmes
2022	J	`jnl`	Learning General World Models in a Handful of Reward-Free Deployments. CoRR Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
2022	A	`conf`	Marginalising over Stationary Kernels with Bayesian Quadrature. AISTATS Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts
2022	J	`jnl`	Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications. Algorithms Diego Granziol, Binxin Ru, Xiaowen Dong, Stefan Zohren, Michael A. Osborne, Stephen J. Roberts
2022	A	`conf`	On-the-fly Strategy Adaptation for ad-hoc Agent Coordination. AAMAS Jaleh Zand, Jack Parker-Holder, Stephen J. Roberts
2022	J	`jnl`	On-the-fly Strategy Adaptation for ad-hoc Agent Coordination. CoRR Jaleh Zand, Jack Parker-Holder, Stephen J. Roberts
2022	A*	`conf`	Revisiting Design Choices in Offline Model Based Reinforcement Learning. ICLR Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
2022	A*	`conf`	Robust and Scalable SDE Learning: A Functional Perspective. ICLR Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts
2022	A*	`conf`	Same State, Different Task: Continual Reinforcement Learning without Interference. AAAI Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
2022	A*	`conf`	Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. ICML Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan
2022	J	`jnl`	Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. CoRR Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan
2022	J	`jnl`	Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19. CoRR Davide Pigoli, Kieran Baker, Jobie Budd, Lorraine Butler, Harry Coppock, Sabrina Egglestone, Steven G. Gilmour, Chris C. Holmes, David Hurley, Radka Jersakova, Ivan Kiskin, Vasiliki Koutra, Jonathon Mellor, George Nicholson, Joe Packham, Selina Patel, Richard Payne, Stephen J. Roberts, Björn W. Schuller, Ana Tendero Cañadas, Tracey Thornley, Alexander Titcomb
2022	A*	`conf`	The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. ACM Multimedia Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastian P. Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts
2022	J	`jnl`	The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. CoRR Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastian P. Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts
2022	J	`jnl`	The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning. CoRR Samuel Kessler, Piotr Milos, Jack Parker-Holder, Stephen J. Roberts
2022	J	`jnl`	Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity. CoRR Daniel Poh, Stephen J. Roberts, Stefan Zohren
2022	Misc	`conf`	Uncertainty Estimation with a VAE-Classifier Hybrid Model. ICASSP Shuyu Lin, Ronald Clark, Niki Trigoni, Stephen J. Roberts
2021	J	`jnl`	Adversarial Robustness Guarantees for Gaussian Processes. CoRR Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen J. Roberts, Marta Kwiatkowska
2021	A*	`conf`	Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. ICML Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
2021	J	`jnl`	Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. CoRR Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
2021	—	`conf`	Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks. ECML/PKDD (4) Ivan Kiskin, Adam D. Cobb, Marianne Sinka, Kathy Willis, Stephen J. Roberts
2021	J	`jnl`	Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective. CoRR Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen J. Roberts, Yarin Gal
2021	J	`jnl`	Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures. CoRR Daniel Poh, Bryan Lim, Stefan Zohren, Stephen J. Roberts
2021	A	`conf`	Hierarchical Indian buffet neural networks for Bayesian continual learning. UAI Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts
2021	—	`conf`	HumBugDB: A Large-scale Acoustic Mosquito Dataset. NeurIPS Datasets and Benchmarks Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy Willis, Stephen J. Roberts
2021	J	`jnl`	HumBugDB: A Large-scale Acoustic Mosquito Dataset. CoRR Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy J. Willis, Stephen J. Roberts
2021	A*	`conf`	Improving VAEs' Robustness to Adversarial Attack. ICLR Matthew Willetts, Alexander Camuto, Tom Rainforth, Stephen J. Roberts, Christopher C. Holmes
2021	A	`conf`	Learning Bijective Feature Maps for Linear ICA. AISTATS Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts
2021	J	`jnl`	Marginalising over Stationary Kernels with Bayesian Quadrature. CoRR Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts
2021	J	`jnl`	OffCon CoRR Philip J. Ball, Stephen J. Roberts
2021	J	`jnl`	One-Shot Transfer Learning of Physics-Informed Neural Networks. CoRR Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen J. Roberts
2021	J	`jnl`	Optimal pricing in black box producer-consumer Stackelberg games using revealed preference feedback. Neurocomputing Anup Aprem, Stephen J. Roberts
2021	J	`jnl`	Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems. CoRR Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen J. Roberts
2021	J	`jnl`	Revisiting Design Choices in Model-Based Offline Reinforcement Learning. CoRR Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
2021	J	`jnl`	Robust and Scalable SDE Learning: A Functional Perspective. CoRR Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts
2021	J	`jnl`	Same State, Different Task: Continual Reinforcement Learning without Interference. CoRR Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
2021	J	`jnl`	Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection. CoRR Kieran Wood, Stephen J. Roberts, Stefan Zohren
2021	J	`jnl`	The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks. CoRR Arno Blaas, Stephen J. Roberts
2021	A	`conf`	Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. AISTATS Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth
2021	J	`jnl`	Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture. CoRR Kieran Wood, Sven Giegerich, Stephen J. Roberts, Stefan Zohren
2021	A*	`conf`	Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL. NeurIPS Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J. Roberts
2021	J	`jnl`	Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL. CoRR Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J. Roberts
2020	A	`conf`	Adversarial Robustness Guarantees for Classification with Gaussian Processes. AISTATS Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts
2020	Misc	`conf`	Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. ICASSP Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts
2020	A*	`conf`	Bayesian Optimisation over Multiple Continuous and Categorical Inputs. ICML Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts
2020	J	`jnl`	Bioacoustic detection with wavelet-conditioned convolutional neural networks. Neural Comput. Appl. Ivan Kiskin, Davide Zilli, Yunpeng Li, Marianne Sinka, Kathy Willis, Stephen J. Roberts
2020	J	`jnl`	Building Cross-Sectional Systematic Strategies By Learning to Rank. CoRR Daniel Poh, Bryan Lim, Stefan Zohren, Stephen J. Roberts
2020	A*	`conf`	Effective Diversity in Population Based Reinforcement Learning. NeurIPS Jack Parker-Holder, Aldo Pacchiano, Krzysztof Marcin Choromanski, Stephen J. Roberts
2020	J	`jnl`	Explaining the Adaptive Generalisation Gap. CoRR Diego Granziol, Samuel Albanie, Xingchen Wan, Stephen J. Roberts
2020	A*	`conf`	Explicit Regularisation in Gaussian Noise Injections. NeurIPS Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes
2020	J	`jnl`	Explicit Regularisation in Gaussian Noise Injections. CoRR Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes
2020	J	`jnl`	Lazily Adapted Constant Kinky Inference for nonparametric regression and model-reference adaptive control. Autom. Jan-Peter Calliess, Stephen J. Roberts, Carl Edward Rasmussen, Jan M. Maciejowski
2020	J	`jnl`	Learning Bijective Feature Maps for Linear ICA. CoRR Alexander Camuto, Matthew Willetts, Brooks Paige, Chris C. Holmes, Stephen J. Roberts
2020	A*	`conf`	Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits. NeurIPS Jack Parker-Holder, Vu Nguyen, Stephen J. Roberts
2020	A*	`conf`	Ready Policy One: World Building Through Active Learning. ICML Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts
2020	J	`jnl`	Relaxed-Responsibility Hierarchical Discrete VAEs. CoRR Matthew Willetts, Xenia Miscouridou, Stephen J. Roberts, Chris C. Holmes
2020	—	`conf`	SafePILCO: A Software Tool for Safe and Data-Efficient Policy Synthesis. QEST Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen J. Roberts
2020	J	`jnl`	SafePILCO: a software tool for safe and data-efficient policy synthesis. CoRR Kyriakos Polymenakos, Nikitas Rontsis, Alessandro Abate, Stephen J. Roberts
2020	—	`conf`	Safety Guarantees for Iterative Predictions with Gaussian Processes. CDC Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts
2020	—	`conf`	Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels. IEEE BigData Matthew Willetts, Stephen J. Roberts, Chris C. Holmes
2020	J	`jnl`	Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. CoRR Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth
2020	B	`conf`	Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. ESANN Bernardo Pérez Orozco, Stephen J. Roberts
2020	J	`jnl`	Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. CoRR Bernardo Pérez Orozco, Stephen J. Roberts
2019	J	`jnl`	A General Framework for Fair Regression. Entropy Jack K. Fitzsimons, AbdulRahman Al Ali, Michael A. Osborne, Stephen J. Roberts
2019	J	`jnl`	A Maximum Entropy approach to Massive Graph Spectra. CoRR Diego Granziol, Robin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
2019	J	`jnl`	Adaptive Configuration Oracle for Online Portfolio Selection Methods. CoRR Favour M. Nyikosa, Michael A. Osborne, Stephen J. Roberts
2019	A*	`conf`	Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. ICML Ahsan S. Alvi, Bin Xin Ru, Jan-Peter Calliess, Stephen J. Roberts, Michael A. Osborne
2019	J	`jnl`	Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. CoRR Ahsan S. Alvi, Bin Xin Ru, Jan Calliess, Stephen J. Roberts, Michael A. Osborne
2019	J	`jnl`	Balancing Reconstruction Quality and Regularisation in ELBO for VAEs. CoRR Shuyu Lin, Stephen J. Roberts, Niki Trigoni, Ronald Clark
2019	J	`jnl`	Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources. CoRR Edwin Simpson, Steven Reece, Stephen J. Roberts
2019	J	`jnl`	Bayesian Optimisation over Multiple Continuous and Categorical Inputs. CoRR Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts
2019	J	`jnl`	Deep Reinforcement Learning for Trading. CoRR Zihao Zhang, Stefan Zohren, Stephen J. Roberts
2019	J	`jnl`	DeepLOB: Deep Convolutional Neural Networks for Limit Order Books. IEEE Trans. Signal Process. Zihao Zhang, Stefan Zohren, Stephen J. Roberts
2019	J	`jnl`	Disentangling Improves VAEs' Robustness to Adversarial Attacks. CoRR Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes
2019	J	`jnl`	Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. CoRR Matthew Willetts, Stephen J. Roberts, Chris C. Holmes
2019	J	`jnl`	Enhancing Time Series Momentum Strategies Using Deep Neural Networks. CoRR Bryan Lim, Stefan Zohren, Stephen J. Roberts
2019	J	`jnl`	Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down Ward. IEEE J. Biomed. Health Informatics Glen Wright Colopy, Stephen J. Roberts, David A. Clifton
2019	J	`jnl`	Implicit Priors for Knowledge Sharing in Bayesian Neural Networks. CoRR Jack K. Fitzsimons, Sebastian M. Schmon, Stephen J. Roberts
2019	J	`jnl`	Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo. CoRR Adam D. Cobb, Atilim Günes Baydin, Andrew Markham, Stephen J. Roberts
2019	J	`jnl`	MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. CoRR Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
2019	J	`jnl`	MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
2019	—	`conf`	Optimal Pricing In Black Box Producer-Consumer Stackelberg Games Using Revealed Preference Feedback. MLSP Anup Aprem, Stephen J. Roberts
2019	A	`conf`	Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents. AAMAS Richard Everett, Adam D. Cobb, Andrew Markham, Stephen J. Roberts
2019	J	`jnl`	Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs. CoRR Bryan Lim, Stefan Zohren, Stephen J. Roberts
2019	J	`jnl`	Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction. CoRR Bryan Lim, Stefan Zohren, Stephen J. Roberts
2019	J	`jnl`	Regularising Deep Networks with DGMs. CoRR Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes
2019	J	`jnl`	Robustness Quantification for Classification with Gaussian Processes. CoRR Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts
2019	A	`conf`	Safe Policy Search Using Gaussian Process Models. AAMAS Kyriakos Polymenakos, Alessandro Abate, Stephen J. Roberts
2019	J	`jnl`	Safety Guarantees for Planning Based on Iterative Gaussian Processes. CoRR Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts
2019	J	`jnl`	Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels. CoRR Matthew Willetts, Stephen J. Roberts, Christopher C. Holmes
2019	—	`conf`	WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding. DGS@ICLR Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
2019	J	`jnl`	WiSE-VAE: Wide Sample Estimator VAE. CoRR Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen J. Roberts
2018	J	`jnl`	A Bayesian optimization approach to compute the Nash equilibria of potential games using bandit feedback. CoRR Anup Aprem, Stephen J. Roberts
2018	J	`jnl`	Automated bird sound recognition in realistic settings. CoRR Timos Papadopoulos, Stephen J. Roberts, Katherine J. Willis
2018	J	`jnl`	BCCNet: Bayesian classifier combination neural network. CoRR Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J. Roberts, Katherine J. Willis, Steven Reece
2018	—	`conf`	Bayesian Nonparametrics and Feedback-Linearisation of Discretised Control-Affine Systems. CDC Jan-Peter Calliess, Antonis Papachristodoulou, Stephen J. Roberts
2018	J	`jnl`	Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring. IEEE J. Biomed. Health Informatics Glen Wright Colopy, Stephen J. Roberts, David A. Clifton
2018	J	`jnl`	Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. CoRR Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen J. Roberts
2018	J	`jnl`	Entropic Spectral Learning in Large Scale Networks. CoRR Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts
2018	J	`jnl`	Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness. CoRR Jack K. Fitzsimons, AbdulRahman Al Ali, Michael A. Osborne, Stephen J. Roberts
2018	—	`conf`	Fast mosquito acoustic detection with field cup recordings: an initial investigation. DCASE Yunpeng Li, Ivan Kiskin, Marianne Sinka, Davide Zilli, Henry Chan, Eva Herreros-Moya, Theeraphap Chareonviriyaphap, Rungarun Tisgratog, Kathy Willis, Stephen J. Roberts
2018	J	`jnl`	Gradient descent in Gaussian random fields as a toy model for high-dimensional optimisation in deep learning. CoRR Mariano Chouza, Stephen J. Roberts, Stefan Zohren
2018	A*	`conf`	Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. KDD Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts
2018	J	`jnl`	Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus. CoRR Adam D. Cobb, Richard Everett, Andrew Markham, Stephen J. Roberts
2018	A	`conf`	Improved Stochastic Trace Estimation using Mutually Unbiased Bases. UAI Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph Francis Fitzsimons
2018	J	`jnl`	Intersectionality: Multiple Group Fairness in Expectation Constraints. CoRR Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts
2018	—	`conf`	Learning Against Non-Stationary Agents with Opponent Modelling and Deep Reinforcement Learning. AAAI Spring Symposia Richard Everett, Stephen J. Roberts
2018	J	`jnl`	Loss-Calibrated Approximate Inference in Bayesian Neural Networks. CoRR Adam D. Cobb, Stephen J. Roberts, Yarin Gal
2018	J	`jnl`	MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting. CoRR Bernardo Pérez Orozco, Gabriele Abbati, Stephen J. Roberts
2018	—	`conf`	Nonlinear Set Membership Regression with Adaptive Hyper-Parameter Estimation for Online Learning and Control. ECC Jan-Peter Calliess, Stephen J. Roberts, Carl E. Rasmussen, Jan M. Maciejowski
2018	A*	`conf`	Novel Exploration Techniques (NETs) for Malaria Policy Interventions. AAAI Oliver Bent, Sekou L. Remy, Stephen J. Roberts, Aisha Walcott-Bryant
2018	A*	`conf`	Optimization, Fast and Slow: Optimally Switching between Local and Bayesian Optimization. ICML Mark McLeod, Stephen J. Roberts, Michael A. Osborne
2018	J	`jnl`	Optimization, fast and slow: optimally switching between local and Bayesian optimization. CoRR Mark McLeod, Michael A. Osborne, Stephen J. Roberts
2018	J	`jnl`	Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods. CoRR Arnold Salas, Stefan Zohren, Stephen J. Roberts
2018	J	`jnl`	Provenance Network Analytics - An approach to data analytics using data provenance. Data Min. Knowl. Discov. Trung Dong Huynh, Mark Ebden, Joel E. Fischer, Stephen J. Roberts, Luc Moreau
2018	J	`jnl`	Quantum algorithms for training Gaussian Processes. CoRR Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons
2018	—	`conf`	Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. SUM Arno Blaas, Adam D. Cobb, Jan-Peter Calliess, Stephen J. Roberts
2018	J	`jnl`	Semi-unsupervised Learning of Human Activity using Deep Generative Models. CoRR Matthew Willetts, Aiden R. Doherty, Stephen J. Roberts, Chris C. Holmes
2018	J	`jnl`	Sequential sampling of Gaussian process latent variable models. CoRR Martin Tegner, Benjamin Bloem-Reddy, Stephen J. Roberts
2018	J	`jnl`	VBALD - Variational Bayesian Approximation of Log Determinants. CoRR Diego Granziol, Edward Wagstaff, Bin Xin Ru, Michael A. Osborne, Stephen J. Roberts
2017	J	`jnl`	A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes. CoRR Syed Ali Asad Rizvi, Stephen J. Roberts, Michael A. Osborne, Favour Nyikosa
2017	—	`conf`	Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources. ECML/PKDD (2) Edwin Simpson, Steven Reece, Stephen J. Roberts
2017	A	`conf`	Bayesian Inference of Log Determinants. UAI Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts
2017	J	`jnl`	Bayesian Inference of Log Determinants. CoRR Jack K. Fitzsimons, Kurt Cutajar, Michael A. Osborne, Stephen J. Roberts, Maurizio Filippone
2017	—	`conf`	Bayesian optimisation of Gaussian processes for identifying the deteriorating patient. BHI Glen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton
2017	J	`jnl`	Cost-sensitive detection with variational autoencoders for environmental acoustic sensing. CoRR Yunpeng Li, Ivan Kiskin, Davide Zilli, Marianne Sinka, Henry C. B. Chan, Kathy Willis, Stephen J. Roberts
2017	A	`conf`	Distribution of Gaussian Process Arc Lengths. AISTATS Justin Bewsher, Alessandra Tosi, Michael A. Osborne, Stephen J. Roberts
2017	—	`conf`	Entropic Trace Estimates for Log Determinants. ECML/PKDD (1) Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
2017	J	`jnl`	Entropic Trace Estimates for Log Determinants. CoRR Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
2017	—	`conf`	Entropic determinants of massive matrices. IEEE BigData Diego Granziol, Stephen J. Roberts
2017	—	`conf`	Identifying Sources of Discrimination Risk in the Life Cycle of Machine Intelligence Applications under New European Union Regulations. AAAI Spring Symposia Syed Ali Asad Rizvi, Elmarie van Heerden, Arnold Salas, Favour Nyikosa, Stephen J. Roberts, Michael A. Osborne, Elmer Rodriguez
2017	J	`jnl`	Learning from lions: inferring the utility of agents from their trajectories. CoRR Adam D. Cobb, Andrew Markham, Stephen J. Roberts
2017	—	`conf`	Likelihood-based artefact detection in continuously-acquired patient vital signs. EMBC Glen Wright Colopy, Tingting Zhu, Lei A. Clifton, Stephen J. Roberts, David A. Clifton
2017	J	`jnl`	Mosquito Detection with Neural Networks: The Buzz of Deep Learning. CoRR Ivan Kiskin, Bernardo Pérez Orozco, Theo Windebank, Davide Zilli, Marianne Sinka, Kathy Willis, Stephen J. Roberts
2017	J	`jnl`	Mosquito detection with low-cost smartphones: data acquisition for malaria research. CoRR Yunpeng Li, Davide Zilli, Henry C. B. Chan, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts, Kathy Willis
2017	J	`jnl`	Novel Exploration Techniques (NETs) for Malaria Policy Interventions. CoRR Oliver Bent, Sekou L. Remy, Stephen J. Roberts, Aisha Walcott-Bryant
2017	—	`conf`	Optimal Client Recommendation for Market Makers in Illiquid Financial Products. ECML/PKDD (3) Dieter Hendricks, Stephen J. Roberts
2017	J	`jnl`	Optimal client recommendation for market makers in illiquid financial products. CoRR Dieter Hendricks, Stephen J. Roberts
2017	J	`jnl`	Safe Policy Search with Gaussian Process Models. CoRR Kyriakos Polymenakos, Alessandro Abate, Stephen J. Roberts
2016	J	`jnl`	A Disaster Response System based on Human-Agent Collectives. J. Artif. Intell. Res. 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
2016	—	`conf`	Bayesian Gaussian processes for identifying the deteriorating patient. EMBC Glen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton
2016	J	`jnl`	Human-agent collaboration for disaster response. Auton. Agents Multi Agent Syst. Sarvapali D. Ramchurn, Feng Wu, Wenchao Jiang, Joel E. Fischer, Steven Reece, Stephen J. Roberts, Tom Rodden, Chris Greenhalgh, Nicholas R. Jennings
2016	J	`jnl`	Improved stochastic trace estimation using mutually unbiased bases. CoRR Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons
2016	A	`conf`	Latent Point Process Allocation. AISTATS Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts, Tom Nickson
2016	J	`jnl`	String and Membrane Gaussian Processes. J. Mach. Learn. Res. Yves-Laurent Kom Samo, Stephen J. Roberts
2015	J	`jnl`	A Sparse Gaussian Process Framework for Photometric Redshift Estimation. CoRR Ibrahim A. Almosallam, Sam N. Lindsay, Matt J. Jarvis, Stephen J. Roberts
2015	—	`ch.`	Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems. Decision Making Edwin Simpson, Stephen J. Roberts
2015	J	`jnl`	Detecting bird sound in unknown acoustic background using crowdsourced training data. CoRR Timos Papadopoulos, Stephen J. Roberts, Kathy Willis
2015	A	`conf`	HAC-ER: A Disaster Response System based on Human-Agent Collectives. AAMAS Sarvapali D. Ramchurn, Trung Dong Huynh, Yuki Ikuno, Jack Flann, Feng Wu, Luc Moreau, Nicholas R. Jennings, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen J. Roberts
2015	A	`conf`	HAC-ER: A Disaster Response System based on Human-Agent Collectives. AAMAS Sarvapali D. Ramchurn, Trung Dong Huynh, Yuki Ikuno, Jack Flann, Feng Wu, Luc Moreau, Nicholas R. Jennings, Joel E. Fischer, Wenchao Jiang, Tom Rodden, Edwin Simpson, Steven Reece, Stephen J. Roberts
2015	A*	`conf`	Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. WWW Edwin Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings
2015	J	`jnl`	Modeling the Thermal Dynamics of Buildings: A Latent-Force- Model-Based Approach. ACM Trans. Intell. Syst. Technol. Siddhartha Ghosh, Steven Reece, Alex Rogers, Stephen J. Roberts, Areej Malibari, Nicholas R. Jennings
2015	A*	`conf`	Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes. ICML Yves-Laurent Kom Samo, Stephen J. Roberts
2015	A*	`conf`	Variational Inference for Gaussian Process Modulated Poisson Processes. ICML Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts
2014	A	`conf`	AtomicOrchid: human-agent collectives to the rescue. AAMAS Sarvapali D. Ramchurn, Feng Wu, Wenchao Jiang, Joel E. Fischer, Steven Reece, Chris Greenhalgh, Tom Rodden, Nicholas R. Jennings, Stephen J. Roberts
2014	J	`jnl`	Communication Communities in MOOCs. CoRR Nabeel Gillani, Rebecca Eynon, Michael A. Osborne, Isis Hjorth, Stephen J. Roberts
2014	A	`conf`	Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space. AAMAS Jan-Peter Calliess, Michael A. Osborne, Stephen J. Roberts
2014	J	`jnl`	Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space. CoRR Jan-Peter Calliess, Michael A. Osborne, Stephen J. Roberts
2014	A	`conf`	Efficient Bayesian Nonparametric Modelling of Structured Point Processes. UAI Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts
2014	J	`jnl`	Efficient state-space inference of periodic latent force models. J. Mach. Learn. Res. Steven Reece, Siddhartha Ghosh, Alex Rogers, Stephen J. Roberts, Nicholas R. Jennings
2014	J	`jnl`	Human-agent collectives. Commun. ACM Nicholas R. Jennings, Luc Moreau, David Nicholson, Sarvapali D. Ramchurn, Stephen J. Roberts, Tom Rodden, Alex Rogers
2014	J	`jnl`	Maritime abnormality detection using Gaussian processes. Knowl. Inf. Syst. Mark Smith, Steven Reece, Stephen J. Roberts, Ioannis Psorakis, Iead Rezek
2014	—	`conf`	Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature. NIPS Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig, Stephen J. Roberts
2013	A	`conf`	AgentSwitch: towards smart energy tariff selection. AAMAS Sarvapali D. Ramchurn, Michael A. Osborne, Oliver Parson, Talal Rahwan, Sasan Maleki, Steven Reece, Trung Dong Huynh, Muddasser Alam, Joel E. Fischer, Tom Rodden, Luc Moreau, Stephen J. Roberts
2013	A	`conf`	AgentSwitch: towards smart energy tariff selection. AAMAS Sarvapali D. Ramchurn, Michael A. Osborne, Oliver Parson, Talal Rahwan, Sasan Maleki, Steven Reece, Trung Dong Huynh, Muddasser Alam, Joel E. Fischer, Tom Rodden, Luc Moreau, Stephen J. Roberts
2013	—	`conf`	Discovering Latent Association Structure via Bayesian one-mode Projection of Temporal Bipartite Graphs. MLDM Posters Ioannis Psorakis, Iead Rezek, Zach Frankel, Stephen J. Roberts
2013	—	`ch.`	Dynamic Bayesian Combination of Multiple Imperfect Classifiers. Decision Making and Imperfection Edwin Simpson, Stephen J. Roberts, Ioannis Psorakis, Arfon M. Smith
2013	B	`conf`	Interpretation of Crowdsourced Activities Using Provenance Network Analysis. HCOMP Trung Dong Huynh, Mark Ebden, Matteo Venanzi, Sarvapali D. Ramchurn, Stephen J. Roberts, Luc Moreau
2013	B	`conf`	Multi-Agent Planning with Mixed-Integer Programming and Adaptive Interaction Constraint Generation (Extended Abstract). SOCS Jan-P. Calliess, Stephen J. Roberts
2013	J	`jnl`	Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems. CoRR Jan-Peter Calliess, Antonis Papachristodoulou, Stephen J. Roberts
2012	J	`jnl`	A tutorial on variational Bayesian inference. Artif. Intell. Rev. Charles W. Fox, Stephen J. Roberts
2012	—	`conf`	Active Learning of Model Evidence Using Bayesian Quadrature. NIPS Michael A. Osborne, David Duvenaud, Roman Garnett, Carl E. Rasmussen, Stephen J. Roberts, Zoubin Ghahramani
2012	A	`conf`	Bayesian Quadrature for Ratios. AISTATS Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson
2012	J	`jnl`	Bayesian one-mode projection for dynamic bipartite graphs CoRR Ioannis Psorakis, Iead Rezek, Zach Frankel, Stephen J. Roberts
2012	—	`conf`	Network Analysis on Provenance Graphs from a Crowdsourcing Application. IPAW Mark Ebden, Trung Dong Huynh, Luc Moreau, Sarvapali D. Ramchurn, Stephen J. Roberts
2012	A*	`conf`	Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory. ICDM Mark Smith, Steven Reece, Stephen J. Roberts, Iead Rezek
2012	J	`jnl`	Real-time information processing of environmental sensor network data using bayesian gaussian processes. ACM Trans. Sens. Networks Michael A. Osborne, Stephen J. Roberts, Alex Rogers, Nicholas R. Jennings
2012	—	`conf`	Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics. MAPF@AAAI Jan-Peter Calliess, Michael Alan Osborne, Stephen J. Roberts
2011	J	`jnl`	Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. Neural Networks Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2011	C	`conf`	Determining intent using hard/soft data and Gaussian process classifiers. FUSION Steven Reece, Stephen J. Roberts, David Nicholson, Chris M. Lloyd
2011	J	`jnl`	Graph marginalization for rapid assignment in wide-area surveillance. Ad Hoc Networks Mark Ebden, Stephen J. Roberts
2010	B	`conf`	Active Data Selection for Sensor Networks with Faults and Changepoints. AINA Michael A. Osborne, Roman Garnett, Stephen J. Roberts
2010	C	`conf`	An introduction to Gaussian processes for the Kalman filter expert. FUSION Steven Reece, Stephen J. Roberts
2010	—	`conf`	Bayesian optimization for sensor set selection. IPSN Roman Garnett, Michael A. Osborne, Stephen J. Roberts
2010	J	`jnl`	Robust Measurement Validation in Target Tracking Using Geometric Structure. IEEE Signal Process. Lett. Ji Won Yoon, Stephen J. Roberts
2010	J	`jnl`	Sequential Bayesian Prediction in the Presence of Changepoints and Faults. Comput. J. Roman Garnett, Michael A. Osborne, Steven Reece, Alex Rogers, Stephen J. Roberts
2010	J	`jnl`	Sequential Dynamic Classification Using Latent Variable Models. Comput. J. Seung Min Lee, Stephen J. Roberts
2010	J	`jnl`	Sequential non-stationary dynamic classification with sparse feedback. Pattern Recognit. D. R. Lowne, Stephen J. Roberts, Roman Garnett
2010	J	`jnl`	The Near Constant Acceleration Gaussian Process Kernel for Tracking. IEEE Signal Process. Lett. Steven Reece, Stephen J. Roberts
2009	J	`jnl`	A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training. Medical Biol. Eng. Comput. Chun Sing Louis Tsui, John Q. Gan, Stephen J. Roberts
2009	J	`jnl`	Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. Neural Networks Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2009	J	`jnl`	Bayesian Methods for Image Super-Resolution. Comput. J. Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman
2009	—	`conf`	Graph Marginalization for Rapid Assignment in Wide-Area Surveillance. ADHOCNETS Mark Ebden, Stephen J. Roberts
2009	C	`conf`	Multi-sensor fault recovery in the presence of known and unknown fault types. FUSION Steven Reece, Stephen J. Roberts, Christopher Claxton, David Nicholson
2009	A*	`conf`	Sequential Bayesian prediction in the presence of changepoints. ICML Roman Garnett, Michael A. Osborne, Stephen J. Roberts
2008	C	`conf`	Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. IDEAL Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2008	—	`conf`	Decentralized predictive sensor allocation. CDC Mark Ebden, Mark Briers, Stephen J. Roberts
2008	A*	`conf`	Information Agents for Pervasive Sensor Networks. PerCom Alex Rogers, Mike Osborne, Sarvapali D. Ramchurn, Stephen J. Roberts, Nicholas R. Jennings
2008	J	`jnl`	On Similarities between Inference in Game Theory and Machine Learning. J. Artif. Intell. Res. Iead Rezek, David S. Leslie, Steven Reece, Stephen J. Roberts, Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings
2008	B	`conf`	On-line novelty detection using the Kalman filter and extreme value theory. ICPR Hyoungjoo Lee, Stephen J. Roberts
2008	—	`conf`	Sequential Bayesian estimation for adaptive classification. MFI Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan
2008	—	`conf`	Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes. IPSN Michael A. Osborne, Stephen J. Roberts, Alex Rogers, Sarvapali D. Ramchurn, Nicholas R. Jennings
2007	A*	`conf`	A Multi-Dimensional Trust Model for Heterogeneous Contract Observations. AAAI Steven Reece, Stephen J. Roberts, Alex Rogers, Nicholas R. Jennings
2007	—	`conf`	Drum'n'Bayes: on-Line variational Inference for beat tracking and rhythm Recognition. ICMC Charles W. Fox, Iead Rezek, Stephen J. Roberts
2007	J	`jnl`	Gene Microarray Analysis Using Angular Distribution Decomposition. J. Comput. Biol. Karen Lees, Stephen J. Roberts, Pari Skamnioti, Sarah J. Gurr
2007	J	`jnl`	Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize? EURASIP J. Adv. Signal Process. Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman
2007	A	`conf`	Rumours and reputation: evaluating multi-dimensional trust within a decentralised reputation system. AAMAS Steven Reece, Alex Rogers, Stephen J. Roberts, Nicholas R. Jennings
2006	—	`conf`	Bayesian Image Super-resolution, Continued. NIPS Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman
2006	C	`conf`	Computational Mechanism Design for Information Fusion within Sensor Networks. FUSION Alex Rogers, Rajdeep K. Dash, Nick R. Jennings, Steven Reece, Stephen J. Roberts
2006	A	`conf`	Computational mechanism design for multi-sensor information fusion. AAMAS Alex Rogers, Rajdeep K. Dash, Nicholas R. Jennings, Steven Reece, Stephen J. Roberts
2006	—	`conf`	Nonlinear, Biophysically-Informed Speech Pathology Detection. ICASSP (2) Max A. Little, Patrick E. McSharry, Irene M. Moroz, Stephen J. Roberts
2006	A	`conf`	Optimizing and Learning for Super-resolution. BMVC Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman
2005	—	`conf`	A Simple, Quasi-linear, Discrete Model of Vocal Fold Dynamics. NOLISP Max A. Little, Patrick E. McSharry, Irene M. Moroz, Stephen J. Roberts
2005	J	`jnl`	A Theoretical Analysis of the Selection of Differentially Expressed Genes. J. Bioinform. Comput. Biol. Sach Mukherjee, Stephen J. Roberts
2005	—	`conf`	Data-adaptive test statistics for microarray data. ECCB/JBI Sach Mukherjee, Stephen J. Roberts, Mark J. van der Laan
2005	C	`conf`	Depth of anaesthesia assessment with generative polyspectral models. ICMLA Iead Rezek, Stephen J. Roberts, Ellini Siva, R. Conradt
2004	—	`conf`	A Theoretical Analysis of Gene Selection. CSB Sach Mukherjee, Stephen J. Roberts
2004	J	`jnl`	Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation. IEEE Trans. Biomed. Eng. Peter Sykacek, Stephen J. Roberts, Maria Stokes
2004	—	`conf`	Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis. Deterministic and Statistical Methods in Machine Learning Stephen J. Roberts, Rizwan Choudrey
2004	J	`jnl`	Hierarchy, priors and wavelets: structure and signal modelling using ICA. Signal Process. Stephen J. Roberts, Evangelos Roussos, Rizwan Choudrey
2004	—	`conf`	Probabilistic Consistency Analysis for Gene Selection. CSB Sach Mukherjee, Stephen J. Roberts
2003	—	`conf`	A Sampled Texture Prior for Image Super-Resolution. NIPS Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman
2003	J	`jnl`	Data decomposition using independent component analysis with prior constraints. Pattern Recognit. Stephen J. Roberts, Rizwan Choudrey
2003	A	`conf`	Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. AISTATS Iead Rezek, Stephen J. Roberts, Peter Sykacek
2003	J	`jnl`	Gene ranking using bootstrapped P-values. SIGKDD Explor. S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr
2003	—	`conf`	Markov Models for Automated ECG Interval Analysis. NIPS Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts
2003	J	`jnl`	Variational Mixture of Bayesian Independent Component Analyzers. Neural Comput. Rizwan Choudrey, Stephen J. Roberts
2002	—	`conf`	Adaptive Classification by Variational Kalman Filtering. NIPS Peter Sykacek, Stephen J. Roberts
2002	—	`conf`	Ensemble hidden Markov models for biosignal analysis. DSP Iead Rezek, Stephen J. Roberts
2002	J	`jnl`	Maximum a Posteriori Estimation of Coupled Hidden Markov Models. J. VLSI Signal Process. Iead Rezek, Michael Gibbs, Stephen J. Roberts
2002	J	`jnl`	Towards the automatic analysis of complex human body motions. Image Vis. Comput. Jens Rittscher, Andrew Blake, Stephen J. Roberts
2002	J	`jnl`	Variational Bayes for generalized autoregressive models. IEEE Trans. Signal Process. Stephen J. Roberts, Will D. Penny
2001	C	`conf`	A Probabilistic Approach to High-Resolution Sleep Analysis. ICANN Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner
2001	—	`conf`	Bayesian time series classification. NIPS Peter Sykacek, Stephen J. Roberts
2001	C	`conf`	Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo. ICANN Stephen J. Roberts, Christopher C. Holmes, Dave Denison
2001	J	`jnl`	Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. Stephen J. Roberts, Christopher C. Holmes, Dave Denison
2001	C	`conf`	Mixtures of Independent Component Analysers. ICANN Stephen J. Roberts, William D. Penny
2000	J	`jnl`	Blind Source Separation for Non-Stationary Mixing. J. VLSI Signal Process. Richard M. Everson, Stephen J. Roberts
2000	—	`ch.`	Independent Components Analysis. Artificial Neural Networks in Biomedicine Richard M. Everson, Stephen J. Roberts
2000	J	`jnl`	Inferring the eigenvalues of covariance matrices from limited, noisy data. IEEE Trans. Signal Process. Richard M. Everson, Stephen J. Roberts
2000	J	`jnl`	Maximum certainty data partitioning. Pattern Recognit. Stephen J. Roberts, Richard M. Everson, Iead Rezek
2000	—	`ch.`	The Bayesian Paradigm: Second Generation Neural Computing. Artificial Neural Networks in Biomedicine William D. Penny, Dirk Husmeier, Stephen J. Roberts
1999	J	`jnl`	An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neural Networks Dirk Husmeier, William D. Penny, Stephen J. Roberts
1999	J	`jnl`	Bayesian neural networks for classification: how useful is the evidence framework? Neural Networks William D. Penny, Stephen J. Roberts
1999	J	`jnl`	Dynamic Models for Nonstationary Signal Segmentation. Comput. Biomed. Res. William D. Penny, Stephen J. Roberts
1999	B	`conf`	Dynamic logistic regression. IJCNN William D. Penny, Stephen J. Roberts
1999	B	`conf`	EEG-based communication via dynamic neural network models. IJCNN William D. Penny, Stephen J. Roberts
1999	J	`jnl`	Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. Neural Comput. Richard M. Everson, Stephen J. Roberts
1999	B	`conf`	Neural networks for predicting Kaposi's sarcoma. IJCNN Dirk Husmeier, Gillian S. Patton, Myra O. McClure, John R. W. Harris, Stephen J. Roberts
1998	J	`jnl`	Bayesian Approaches to Gaussian Mixture Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Stephen J. Roberts, Dirk Husmeier, Iead Rezek, William D. Penny
1998	J	`jnl`	Stochastic complexity measures for physiological signal analysis. IEEE Trans. Biomed. Eng. Iead Rezek, Stephen J. Roberts
1997	J	`jnl`	Parametric and non-parametric unsupervised cluster analysis. Pattern Recognit. Stephen J. Roberts
1996	B	`conf`	Scale-space unsupervised cluster analysis. ICPR Stephen J. Roberts
1994	J	`jnl`	A Probabilistic Resource Allocating Network for Novelty Detection. Neural Comput. Stephen J. Roberts, Lionel Tarassenko