Michael A. Osborne
Orcid: 0000-0003-1959-012XAffiliations:
- University of Oxford, UK
According to our database1,
Michael A. Osborne
authored at least 105 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation.
CoRR, 2024
Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type.
CoRR, 2024
2023
CoRR, 2023
Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature.
CoRR, 2023
SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
CoRR, 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations.
CoRR, 2022
Algorithms, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Automated Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
PLoS Comput. Biol., 2021
CoRR, 2021
CoRR, 2021
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
J. Mach. Learn. Res., 2020
J. Mach. Learn. Res., 2020
CoRR, 2020
Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.
CoRR, 2020
Machine learning enables completely automatic tuning of a quantum device faster than human experts.
CoRR, 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 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries.
IEEE Trans. Ind. Informatics, 2019
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.
Entropy, 2019
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
2018
Spatial Field Reconstruction and Sensor Selection in Heterogeneous Sensor Networks With Stochastic Energy Harvesting.
IEEE Trans. Signal Process., 2018
CoRR, 2018
Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness.
CoRR, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Optimization, Fast and Slow: Optimally Switching between Local and Bayesian Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.
Proceedings of the Artificial Intelligence in Medicine, 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
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 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
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
Recommending energy tariffs and load shifting based on smart household usage profiling.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 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 15th International IEEE Conference on Intelligent Transportation Systems, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics.
Proceedings of the Multiagent Pathfinding, Papers from the 2012 AAAI Workshop, 2012
2010
Comput. J., 2010
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010
2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
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