Roman Garnett

Citado por

	Total	Desde 2020
Citas	5855	3661
Índice h	34	28
Índice i10	67	53

1100

550

275

825

2006200720082009201020112012201320142015201620172018201920202021202220232024202515 31 37 45 84 68 116 133 172 203 207 277 396 371 526 533 554 789 1004 243

Acceso público

Ver todo

57 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Michael A OsborneProfessor of Machine Learning, University of OxfordDirección de correo verificada de robots.ox.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordDirección de correo verificada de robots.ox.ac.uk
Jeff SchneiderCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Gustavo MalkomesIntelDirección de correo verificada de intel.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowDirección de correo verificada de cs.tu-darmstadt.de
Shali JiangFacebookDirección de correo verificada de wustl.edu
Richard P MannProfessor of Mathematical Ecology & Evolution, University of LeedsDirección de correo verificada de leeds.ac.uk
Marion NeumannWashington University in St. LouisDirección de correo verificada de wustl.edu
Jacob GardnerUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Quan NguyenPostdoc, Princeton UniversityDirección de correo verificada de wustl.edu
Alvitta OttleyWashington University in St. LouisDirección de correo verificada de wustl.edu
Simeon BirdUniversity of California, RiversideDirección de correo verificada de ucr.edu
Wenjie HeAssociate Professor, University of Missouri -St. LouisDirección de correo verificada de umsl.edu
Tim HuegerichSenior Economist, L. R. Christensen AssociatesDirección de correo verificada de uwalumni.com
Thomas GärtnerTU Wien (Technical University of Vienna)Dirección de correo verificada de tuwien.ac.at
Yifei MaApplied Scientist, Amazon.ComDirección de correo verificada de amazon.com
Philipp HennigUniversity of TübingenDirección de correo verificada de uni-tuebingen.de
Kilian WeinbergerCornell UniversityDirección de correo verificada de cornell.edu
Benjamin MoseleyCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Henry ChaiWashington University in Saint LouisDirección de correo verificada de wustl.edu

Seguir

Roman Garnett

Washington University in St. Louis

Dirección de correo verificada de wustl.edu - Página principal

machine learning active learning active search Bayesian optimization Gaussian processes


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	843	2005
Bayesian Optimization R Garnett	797	2023
Gaussian processes for global optimization MA Osborne, R Garnett, SJ Roberts	370	2009
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	322	2016
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	232	2019
Bayesian optimization for sensor set selection R Garnett, MA Osborne, SJ Roberts Proceedings of the 9th ACM/IEEE international conference on information …, 2010	222	2010
Bioinspired polarization vision enables underwater geolocalization SB Powell, R Garnett, J Marshall, C Rizk, V Gruev Science advances 4 (4), eaao6841, 2018	165	2018
Bayesian optimization for automated model selection G Malkomes, C Schaff, R Garnett Advances in Neural Information Processing Systems 29, 2016	155	2016
Bayesian optimal active search and surveying R Garnett, Y Krishnamurthy, X Xiong, J Schneider, R Mann International Conference on Machine Learning (ICML 2012), 2012	145	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	144	2012
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	141	2017
Active learning of linear embeddings for Gaussian processes R Garnett, MA Osborne, P Hennig arXiv preprint arXiv:1310.6740, 2013	133	2013
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	125	2014
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	94	2010
Σ-optimality for active learning on gaussian random fields Y Ma, R Garnett, J Schneider Advances in Neural Information Processing Systems, 2751-2759, 2013	76	2013
Efficient graph kernels by randomization M Neumann, N Patricia, R Garnett, K Kersting Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012	70	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	70	2009
Differentially private Bayesian optimization M Kusner, J Gardner, R Garnett, K Weinberger International conference on machine learning, 918-927, 2015	69	2015
Efficient nonmyopic bayesian optimization via one-shot multi-step trees S Jiang, D Jiang, M Balandat, B Karrer, J Gardner, R Garnett Advances in Neural Information Processing Systems 33, 18039-18049, 2020	64	2020
Efficient nonmyopic active search S Jiang, G Malkomes, G Converse, A Shofner, B Moseley, R Garnett International Conference on Machine Learning, 1714-1723, 2017	64	2017

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores