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All publications by Roman Garnett
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Differentially Private Bayesian Optimization
Matt Kusner, Jacob Gardner, Roman Garnett and Kilian Q. Weinberger
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Roman Garnett, Shirley Ho and Jeff Schneider
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis Barbour and John P. Cunningham
Advances in Neural Information Processing Systems 28, 2015


Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig and Stephen J. Roberts
Advances in Neural Information Processing Systems 27, 2014


\Sigma -Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani, David K. Duvenaud, Stephen J. Roberts and Carl E. Rasmussen
Advances in Neural Information Processing Systems 25, 2012


Bayesian Optimal Active Search and Surveying
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Richard Mann and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Quadrature for Ratios
Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain and Neale Gibson
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sequential Bayesian prediction in the presence of changepoints
Roman Garnett, Stephen J. Roberts and Michael Osborne
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009