Stephen J. Roberts
Orcid: 0000-0002-9305-9268Affiliations:
- University of Oxford, UK
According to our database1,
Stephen J. Roberts
authored at least 248 papers
between 1994 and 2023.
Collaborative distances:
Collaborative distances:
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on zbmath.org
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on orcid.org
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Bibliography
2023
CoRR, 2023
SANE: The phases of gradient descent through Sharpness Adjusted Number of Effective parameters.
CoRR, 2023
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training.
J. Mach. Learn. Res., 2022
Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19.
CoRR, 2022
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers.
CoRR, 2022
The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning.
CoRR, 2022
Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity.
CoRR, 2022
Algorithms, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Optimal pricing in black box producer-consumer Stackelberg games using revealed preference feedback.
Neurocomputing, 2021
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture.
CoRR, 2021
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems.
CoRR, 2021
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective.
CoRR, 2021
Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection.
CoRR, 2021
Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures.
CoRR, 2021
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks.
CoRR, 2021
A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback.
Comput. J., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Neural Comput. Appl., 2020
CoRR, 2020
CoRR, 2020
Lazily Adapted Constant Kinky Inference for nonparametric regression and model-reference adaptive control.
Autom., 2020
Proceedings of the Quantitative Evaluation of Systems - 17th International Conference, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
IEEE Trans. Signal Process., 2019
Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down Ward.
IEEE J. Biomed. Health Informatics, 2019
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.
Entropy, 2019
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo.
CoRR, 2019
CoRR, 2019
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs.
CoRR, 2019
Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
IEEE J. Biomed. Health Informatics, 2018
Data Min. Knowl. Discov., 2018
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity.
CoRR, 2018
A Bayesian optimization approach to compute the Nash equilibria of potential games using bandit feedback.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness.
CoRR, 2018
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting.
CoRR, 2018
Gradient descent in Gaussian random fields as a toy model for high-dimensional optimisation in deep learning.
CoRR, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Optimization, Fast and Slow: Optimally Switching between Local and Bayesian Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
Nonlinear Set Membership Regression with Adaptive Hyper-Parameter Estimation for Online Learning and Control.
Proceedings of the 16th European Control Conference, 2018
Fast mosquito acoustic detection with field cup recordings: an initial investigation.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018
Bayesian Nonparametrics and Feedback-Linearisation of Discretised Control-Affine Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Learning Against Non-Stationary Agents with Opponent Modelling and Deep Reinforcement Learning.
Proceedings of the 2018 AAAI Spring Symposia, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Cost-sensitive detection with variational autoencoders for environmental acoustic sensing.
CoRR, 2017
CoRR, 2017
CoRR, 2017
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes.
CoRR, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Bayesian optimisation of Gaussian processes for identifying the deteriorating patient.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Identifying Sources of Discrimination Risk in the Life Cycle of Machine Intelligence Applications under New European Union Regulations.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
J. Artif. Intell. Res., 2016
Auton. Agents Multi Agent Syst., 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Proceedings of the Decision Making: Uncertainty, Imperfection, 2015
ACM Trans. Intell. Syst. Technol., 2015
Detecting bird sound in unknown acoustic background using crowdsourced training data.
CoRR, 2015
Proceedings of the 24th International Conference on World Wide Web, 2015
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
2014
J. Mach. Learn. Res., 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
2013
Proceedings of the Decision Making and Imperfection, 2013
Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems.
CoRR, 2013
Multi-Agent Planning with Mixed-Integer Programming and Adaptive Interaction Constraint Generation (Extended Abstract).
Proceedings of the Sixth Annual Symposium on Combinatorial Search, 2013
Discovering Latent Association Structure via Bayesian one-mode Projection of Temporal Bipartite Graphs.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
2012
Real-time information processing of environmental sensor network data using bayesian gaussian processes.
ACM Trans. Sens. Networks, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Provenance and Annotation of Data and Processes, 2012
Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics.
Proceedings of the Multiagent Pathfinding, Papers from the 2012 AAAI Workshop, 2012
2011
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing.
Neural Networks, 2011
Ad Hoc Networks, 2011
Proceedings of the 14th International Conference on Information Fusion, 2011
2010
IEEE Signal Process. Lett., 2010
IEEE Signal Process. Lett., 2010
Pattern Recognit., 2010
Comput. J., 2010
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010
Proceedings of the 13th Conference on Information Fusion, 2010
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010
2009
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.
Neural Networks, 2009
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., 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
2008
J. Artif. Intell. Res., 2008
Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008
Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes.
Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
J. Comput. Biol., 2007
Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?
EURASIP J. Adv. Signal Process., 2007
Drum'n'Bayes: on-Line variational Inference for beat tracking and rhythm Recognition.
Proceedings of the 2007 International Computer Music Conference, 2007
Proceedings of the 15th International Conference on Digital Signal Processing, 2007
Rumours and reputation: evaluating multi-dimensional trust within a decentralised reputation system.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 9th International Conference on Information Fusion, 2006
Proceedings of the British Machine Vision Conference 2006, 2006
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006
2005
J. Bioinform. Comput. Biol., 2005
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005
2004
Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.
IEEE Trans. Biomed. Eng., 2004
Signal Process., 2004
Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis.
Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
2003
Pattern Recognit., 2003
Neural Comput., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003
2002
J. VLSI Signal Process., 2002
IEEE Trans. Signal Process., 2002
Image Vis. Comput., 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the 14th International Conference on Digital Signal Processing, 2002
2001
IEEE Trans. Pattern Anal. Mach. Intell., 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Artificial Neural Networks, 2001
2000
IEEE Trans. Signal Process., 2000
Proceedings of the Artificial Neural Networks in Biomedicine, 2000
Proceedings of the Artificial Neural Networks in Biomedicine, 2000
1999
Neural Networks, 1999
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers.
Neural Networks, 1999
Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach.
Neural Comput., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
IEEE Trans. Pattern Anal. Mach. Intell., 1998
1997
1996
Proceedings of the 13th International Conference on Pattern Recognition, 1996
1994
Neural Comput., 1994