Roman Garnett

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Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Richard P MannSchool of Mathematics, University of LeedsVerified email at leeds.ac.uk
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Gustavo MalkomesIntelVerified email at intel.com
Shali JiangFacebookVerified email at wustl.edu
Marion NeumannWashington University in St. LouisVerified email at wustl.edu
Wenjie HeAssociate Professor, University of Missouri -St. LouisVerified email at umsl.edu
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Jacob GardnerUniversity of PennsylvaniaVerified email at seas.upenn.edu
Yifei MaApplied Scientist, Amazon.ComVerified email at amazon.com
Simeon BirdUniversity of California, RiversideVerified email at ucr.edu
Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Benjamin MoseleyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
David SumpterProfessor of Applied Mathematics, Uppsala UniversityVerified email at math.uu.se
Shirley HoFlatiron Institute, Center for Computational AstrophysicsVerified email at flatironinstitute.org
Henry ChaiWashington University in Saint LouisVerified email at wustl.edu
Ashley WardUniversity of SydneyVerified email at sydney.edu.au

Roman Garnett

Washington University in St. Louis

Verified email at wustl.edu - Homepage

machine learning active learning active search Bayesian optimization Gaussian processes


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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	736	2005
Gaussian processes for global optimization MA Osborne, R Garnett, SJ Roberts 3rd international conference on learning and intelligent optimization (LION3 …, 2009	302	2009
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine Learning 102 (2), 209-245, 2016	186	2016
Bayesian optimization for sensor set selection R Garnett, MA Osborne, SJ Roberts Proceedings of the 9th ACM/IEEE international conference on information …, 2010	172	2010
Bayesian optimal active search and surveying R Garnett, Y Krishnamurthy, X Xiong, J Schneider, R Mann International Conference on Machine Learning (ICML 2012), 2012	112	2012
Active learning of model evidence using Bayesian quadrature M Osborne, R Garnett, Z Ghahramani, DK Duvenaud, SJ Roberts, ... Advances in neural information processing systems 25, 2012	109	2012
D-VAE: A variational autoencoder for directed acyclic graphs M Zhang, S Jiang, Z Cui, R Garnett, Y Chen Advances in Neural Information Processing Systems 32, 2019	90	2019
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 27, 2014	89	2014
Active learning of linear embeddings for Gaussian processes R Garnett, MA Osborne, P Hennig arXiv preprint arXiv:1310.6740, 2013	87	2013
Bayesian optimization for automated model selection G Malkomes, C Schaff, R Garnett Advances in Neural Information Processing Systems 29, 2016	85	2016
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	85	2010
Bioinspired polarization vision enables underwater geolocalization SB Powell, R Garnett, J Marshall, C Rizk, V Gruev Science advances 4 (4), eaao6841, 2018	69	2018
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	68	2017
Efficient graph kernels by randomization M Neumann, N Patricia, R Garnett, K Kersting Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	63	2012
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	62	2009
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 computational biology 9 (3), e1002961, 2013	56	2013
Differentially private Bayesian optimization M Kusner, J Gardner, R Garnett, K Weinberger International conference on machine learning, 918-927, 2015	53	2015
Σ-optimality for active learning on gaussian random fields Y Ma, R Garnett, J Schneider Advances in Neural Information Processing Systems, 2751-2759, 2013	50	2013
Active search on graphs X Wang, R Garnett, J Schneider Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	44	2013
Power iterated color refinement K Kersting, M Mladenov, R Garnett, M Grohe Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	43	2014

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