Roman Garnett
Title
Cited by
Cited by
Year
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
6882005
Gaussian processes for global optimization
MA Osborne, R Garnett, SJ Roberts
3rd international conference on learning and intelligent optimization (LION3…, 2009
2742009
Bayesian optimization for sensor set selection
R Garnett, MA Osborne, SJ Roberts
Proceedings of the 9th ACM/IEEE international conference on information…, 2010
1512010
Propagation kernels: efficient graph kernels from propagated information
M Neumann, R Garnett, C Bauckhage, K Kersting
Machine Learning 102 (2), 209-245, 2016
1312016
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
1012012
Bayesian optimal active search and surveying
R Garnett, Y Krishnamurthy, X Xiong, J Schneider, R Mann
International Conference on Machine Learning (ICML 2012), 2012
982012
Sampling for inference in probabilistic models with fast Bayesian quadrature
T Gunter, MA Osborne, R Garnett, P Hennig, SJ Roberts
arXiv preprint arXiv:1411.0439, 2014
762014
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
752010
Active learning of linear embeddings for Gaussian processes
R Garnett, MA Osborne, P Hennig
arXiv preprint arXiv:1310.6740, 2013
732013
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
632013
Bayesian optimization for automated model selection
G Malkomes, C Schaff, R Garnett
Workshop on Automatic Machine Learning, 41-47, 2016
622016
Efficient graph kernels by randomization
M Neumann, N Patricia, R Garnett, K Kersting
Joint European Conference on Machine Learning and Knowledge Discovery in…, 2012
612012
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
582009
D-vae: A variational autoencoder for directed acyclic graphs
M Zhang, S Jiang, Z Cui, R Garnett, Y Chen
arXiv preprint arXiv:1904.11088, 2019
482019
Bioinspired polarization vision enables underwater geolocalization
SB Powell, R Garnett, J Marshall, C Rizk, V Gruev
Science advances 4 (4), eaao6841, 2018
472018
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
472017
Active search on graphs
X Wang, R Garnett, J Schneider
Proceedings of the 19th ACM SIGKDD international conference on Knowledge…, 2013
442013
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International conference on machine learning, 918-927, 2015
402015
Power iterated color refinement
K Kersting, M Mladenov, R Garnett, M Grohe
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
402014
-optimality for active learning on gaussian random fields
Y Ma, R Garnett, J Schneider
Advances in Neural Information Processing Systems, 2751-2759, 2013
392013
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Articles 1–20