Roman Garnett

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Michael A OsborneProfessor of Machine Learning, University of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Jeff SchneiderCarnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Gustavo MalkomesIntelEmail yang diverifikasi di intel.com
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowEmail yang diverifikasi di cs.tu-darmstadt.de
Shali JiangFacebookEmail yang diverifikasi di wustl.edu
Richard P MannProfessor of Mathematical Ecology & Evolution, University of LeedsEmail yang diverifikasi di leeds.ac.uk
Marion NeumannWashington University in St. LouisEmail yang diverifikasi di wustl.edu
Jacob GardnerUniversity of PennsylvaniaEmail yang diverifikasi di seas.upenn.edu
Quan NguyenPostdoc, Princeton UniversityEmail yang diverifikasi di wustl.edu
Alvitta OttleyWashington University in St. LouisEmail yang diverifikasi di wustl.edu
Simeon BirdUniversity of California, RiversideEmail yang diverifikasi di ucr.edu
Wenjie HeAssociate Professor, University of Missouri -St. LouisEmail yang diverifikasi di umsl.edu
Tim HuegerichSenior Economist, L. R. Christensen AssociatesEmail yang diverifikasi di uwalumni.com
Thomas GärtnerTU Wien (Technical University of Vienna)Email yang diverifikasi di tuwien.ac.at
Yifei MaApplied Scientist, Amazon.ComEmail yang diverifikasi di amazon.com
Philipp HennigUniversity of TübingenEmail yang diverifikasi di uni-tuebingen.de
Kilian WeinbergerCornell UniversityEmail yang diverifikasi di cornell.edu
Benjamin MoseleyCarnegie Mellon UniversityEmail yang diverifikasi di andrew.cmu.edu
Henry ChaiWashington University in Saint LouisEmail yang diverifikasi di wustl.edu

Ikuti

Roman Garnett

Washington University in St. Louis

Email yang diverifikasi di wustl.edu - Beranda

machine learning active learning active search Bayesian optimization Gaussian processes


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	841	2005
Bayesian Optimization R Garnett	781	2023
Gaussian processes for global optimization MA Osborne, R Garnett, SJ Roberts	368	2009
Propagation kernels: efficient graph kernels from propagated information M Neumann, R Garnett, C Bauckhage, K Kersting Machine learning 102, 209-245, 2016	319	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	230	2019
Bayesian optimization for sensor set selection R Garnett, MA Osborne, SJ Roberts Proceedings of the 9th ACM/IEEE international conference on information …, 2010	221	2010
Bioinspired polarization vision enables underwater geolocalization SB Powell, R Garnett, J Marshall, C Rizk, V Gruev Science advances 4 (4), eaao6841, 2018	164	2018
Bayesian optimization for automated model selection G Malkomes, C Schaff, R Garnett Advances in Neural Information Processing Systems 29, 2016	153	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	139	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	68	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

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