Roman Garnett
Citata da
Citata da
A universal noise removal algorithm with an impulse detector
R Garnett, T Huegerich, C Chui, W He
IEEE Transactions on image processing 14 (11), 1747-1754, 2005
Gaussian processes for global optimization
MA Osborne, R Garnett, SJ Roberts
3rd international conference on learning and intelligent optimization (LION3 …, 2009
Bayesian optimization for sensor set selection
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 9th ACM/IEEE international conference on information …, 2010
Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting
Machine Learning 102 (2), 209-245, 2016
Active learning of model evidence using Bayesian quadrature
M Osborne, R Garnett, Z Ghahramani, DK Duvenaud, SJ Roberts, ...
Advances in neural information processing systems, 46-54, 2012
Bayesian optimal active search and surveying
R Garnett, Y Krishnamurthy, X Xiong, J Schneider, R Mann
International Conference on Machine Learning (ICML 2012), 2012
Sequential Bayesian prediction in the presence of changepoints and faults
R Garnett, MA Osborne, S Reece, A Rogers, SJ Roberts
The Computer Journal 53 (9), 1430-1446, 2010
Sampling for inference in probabilistic models with fast Bayesian quadrature
T Gunter, MA Osborne, R Garnett, P Hennig, SJ Roberts
Advances in neural information processing systems, 2789-2797, 2014
Multi-scale inference of interaction rules in animal groups using Bayesian model selection
RP Mann, A Perna, D Strömbom, R Garnett, JE Herbert-Read, ...
PLoS Comput Biol 9 (3), e1002961, 2013
Efficient graph kernels by randomization
M Neumann, N Patricia, R Garnett, K Kersting
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
Active learning of linear embeddings for Gaussian processes
R Garnett, MA Osborne, P Hennig
arXiv preprint arXiv:1310.6740, 2013
Sequential Bayesian prediction in the presence of changepoints
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Bayesian optimization for automated model selection
G Malkomes, C Schaff, R Garnett
Advances in Neural Information Processing Systems, 2900-2908, 2016
Active search on graphs
X Wang, R Garnett, J Schneider
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International conference on machine learning, 918-927, 2015
Discovering and exploiting additive structure for Bayesian optimization
J Gardner, C Guo, K Weinberger, R Garnett, R Grosse
Artificial Intelligence and Statistics, 1311-1319, 2017
Objectively identifying landmark use and predicting flight trajectories of the homing pigeon using Gaussian processes
R Mann, R Freeman, M Osborne, R Garnett, C Armstrong, J Meade, ...
Journal of The Royal Society Interface 8 (55), 210-219, 2011
Power iterated color refinement
K Kersting, M Mladenov, R Garnett, M Grohe
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Σ-optimality for active learning on gaussian random fields
Y Ma, R Garnett, J Schneider
Advances in Neural Information Processing Systems, 2751-2759, 2013
Statistical properties of damped Lyman-alpha systems from Sloan Digital Sky Survey DR12
S Bird, R Garnett, S Ho
Monthly Notices of the Royal Astronomical Society 466 (2), 2111-2122, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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