Michael A. Osborne
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
9
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes. | Csaba Tth, Masaki Adachi, Michael A. Osborne, Harald Oberhauser |
| 2025 | AISTATS | Time-varying Gaussian Process Bandits with Unknown Prior. | Juliusz Ziomek, Masaki Adachi, Michael A. Osborne |
| 2024 | AISTATS | Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. | Masaki Adachi, Satoshi Hayakawa, Martin Jrgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne |
| 2024 | AISTATS | Looping in the Human: Collaborative and Explainable Bayesian Optimization. | Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau |
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2024 | UAI | Walking the Values in Bayesian Inverse Reinforcement Learning. | Ondrej Bajgar, Alessandro Abate, Konstantinos Gatsis, Michael A. Osborne |
| 2022 | AISTATS | Marginalising over Stationary Kernels with Bayesian Quadrature. | Saad Hamid, Sebastian Schulze, Michael A. Osborne, 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 | Robust Multi-Objective Bayesian Optimization Under Input Noise. | Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy |
| 2021 | ICLR | Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels. | Bin Xin Ru, Xingchen Wan, Xiaowen Dong, Michael A. Osborne |
| 2021 | ICML | Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. | Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne |
| 2021 | ICML | Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. | Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne |
| 2020 | AAAI | ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. | Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schlkopf, Andreas Krause, Stefan Bauer |
| 2020 | AISTATS | Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning. | Sebastian Farquhar, Michael A. Osborne, Yarin Gal |
| 2020 | ICML | Knowing The What But Not The Where in Bayesian Optimization. | Vu Nguyen, Michael A. Osborne |
| 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 | AIES | Inferring Work Task Automatability from AI Expert Evidence. | Paul Duckworth, Logan Graham, Michael A. Osborne |
| 2019 | ICML | AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs. | Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schlkopf, Stefan Bauer |
| 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 |
| 2019 | ICML | Automated Model Selection with Bayesian Quadrature. | Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett |
| 2019 | ICML | Fingerprint Policy Optimisation for Robust Reinforcement Learning. | Supratik Paul, Michael A. Osborne, Shimon Whiteson |
| 2019 | ICML | On the Limitations of Representing Functions on Sets. | Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne |
| 2018 | AAAI | Alternating Optimisation and Quadrature for Robust Control. | Supratik Paul, Konstantinos I. Chatzilygeroudis, Kamil Ciosek, Jean-Baptiste Mouret, Michael A. Osborne, Shimon Whiteson |
| 2018 | AISTATS | AdaGeo: Adaptive Geometric Learning for Optimization and Sampling. | Gabriele Abbati, Alessandra Tosi, Michael A. Osborne, Seth R. Flaxman |
| 2018 | ICML | Optimization, Fast and Slow: Optimally Switching between Local and Bayesian Optimization. | Mark McLeod, Stephen J. Roberts, Michael A. Osborne |
| 2018 | ICML | Fast Information-theoretic Bayesian Optimisation. | Bin Xin Ru, Mark McLeod, Diego Granziol, Michael A. Osborne |
| 2018 | UAI | Improved Stochastic Trace Estimation using Mutually Unbiased Bases. | Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph Francis Fitzsimons |
| 2017 | AIME | Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. | Wolfgang Fruehwirt, Pengfei Zhang, Matthias Gerstgrasser, Dieter Grossegger, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Leonard Weydemann, Heinrich Garn, Markus Waser, Michael A. Osborne, Georg Dorffner |
| 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 | GLASSES: Relieving The Myopia Of Bayesian Optimisation. | Javier Gonzlez, Michael A. Osborne, Neil D. Lawrence |
| 2016 | AISTATS | Latent Point Process Allocation. | Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts, Tom Nickson |
| 2016 | ICML | Preconditioning Kernel Matrices. | Kurt Cutajar, Michael A. Osborne, John P. Cunningham, Maurizio Filippone |
| 2015 | ICML | Variational Inference for Gaussian Process Modulated Poisson Processes. | Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts |
| 2014 | UAI | Active Learning of Linear Embeddings for Gaussian Processes. | Roman Garnett, Michael A. Osborne, Philipp Hennig |
| 2014 | UAI | Efficient Bayesian Nonparametric Modelling of Structured Point Processes. | Tom Gunter, Chris M. Lloyd, Michael A. Osborne, Stephen J. Roberts |
| 2013 | IUI | Recommending energy tariffs and load shifting based on smart household usage profiling. | Joel E. Fischer, Sarvapali D. Ramchurn, Michael A. Osborne, Oliver Parson, Trung Dong Huynh, Muddasser Alam, Nadia Pantidi, Stuart Moran, Khaled Bachour, Steven Reece, Enrico Costanza, Tom Rodden, Nicholas R. Jennings |
| 2012 | AAAI | Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults. | Michael A. Osborne, Roman Garnett, Kevin Swersky, Nando de Freitas |
| 2010 | AINA | Active Data Selection for Sensor Networks with Faults and Changepoints. | Michael A. Osborne, Roman Garnett, Stephen J. Roberts |
| 2009 | ICML | Sequential Bayesian prediction in the presence of changepoints. | Roman Garnett, Michael A. Osborne, Stephen J. Roberts |