Roman Garnett

Cited by

	All	Since 2018
Citations	4511	3093
h-index	33	30
i10-index	60	52

700

350

175

525

20062007200820092010201120122013201420152016201720182019202020212022202314 31 34 47 80 67 113 135 162 212 198 291 395 374 501 554 556 700

Public access

View all

50 articles

0 articles

available

not available

Based on funding mandates

Co-authors

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
Gustavo MalkomesIntelVerified email at intel.com
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Richard P MannSchool of Mathematics, University of LeedsVerified email at leeds.ac.uk
Shali JiangFacebookVerified email at wustl.edu
Marion NeumannWashington University in St. LouisVerified email at wustl.edu
Jacob GardnerUniversity of PennsylvaniaVerified email at seas.upenn.edu
Wenjie HeAssociate Professor, University of Missouri -St. LouisVerified email at umsl.edu
Tim HuegerichSenior Economist, L. R. Christensen AssociatesVerified email at uwalumni.com
Alvitta OttleyWashington University in St. LouisVerified email at wustl.edu
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Simeon BirdUniversity of California, RiversideVerified email at ucr.edu
Yifei MaApplied Scientist, Amazon.ComVerified email at amazon.com
Benjamin MoseleyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Quan NguyenCS PhD Student, Washington University in St. LouisVerified email at wustl.edu
Philipp HennigUniversity of TübingenVerified email at uni-tuebingen.de
Shirley HoFlatiron Institute, Center for Computational AstrophysicsVerified email at flatironinstitute.org

Roman Garnett

Washington University in St. Louis

Verified email at wustl.edu - Homepage

machine learning active learning active search Bayesian optimization Gaussian processes


Title Sort by citations Sort by year Sort by 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	809	2005
Gaussian processes for global optimization MA Osborne, R Garnett, SJ Roberts	340	2009
Bayesian Optimization R Garnett	254	2023
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	245	2016
Bayesian optimization for sensor set selection R Garnett, MA Osborne, SJ Roberts Proceedings of the 9th ACM/IEEE international conference on information …, 2010	192	2010
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	146	2019
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	133	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	130	2012
Bayesian optimization for automated model selection G Malkomes, C Schaff, R Garnett Advances in Neural Information Processing Systems 29, 2016	120	2016
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	116	2014
Active learning of linear embeddings for Gaussian processes R Garnett, MA Osborne, P Hennig arXiv preprint arXiv:1310.6740, 2013	114	2013
Bioinspired polarization vision enables underwater geolocalization SB Powell, R Garnett, J Marshall, C Rizk, V Gruev Science advances 4 (4), eaao6841, 2018	113	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	96	2017
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	92	2010
Efficient graph kernels by randomization M Neumann, N Patricia, R Garnett, K Kersting Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012	67	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	66	2009
Differentially private Bayesian optimization M Kusner, J Gardner, R Garnett, K Weinberger International conference on machine learning, 918-927, 2015	61	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	61	2013
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	59	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	53	2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors