Ryan P. Adams

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	Toate	Din 2018
Referințe bibliografice	36903	31402
h-index	61	55
i10-index	131	115

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David DuvenaudAssociate Professor, University of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
Hugo LarochelleGoogle Brain & MilaAdresă de e-mail confirmată pe google.com
Matthew J. JohnsonGoogle BrainAdresă de e-mail confirmată pe csail.mit.edu
Iain MurraySchool of Informatics, University of Edinburgh and AmazonAdresă de e-mail confirmată pe ed.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresă de e-mail confirmată pe eng.cam.ac.uk
Richard ZemelProfessor of Computer Science, University of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgeAdresă de e-mail confirmată pe mrao.cam.ac.uk
Jennifer N WeiGoogleAdresă de e-mail confirmată pe google.com
Nando de FreitasCIFAR & DeepMindAdresă de e-mail confirmată pe google.com
Li-wei H. LehmanMassachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
George E. DahlGoogle Inc.Adresă de e-mail confirmată pe google.com
Abigail G. DoyleUCLAAdresă de e-mail confirmată pe chem.ucla.edu
Elaine AngelinoMiller Fellow, UC BerkeleyAdresă de e-mail confirmată pe eecs.berkeley.edu
Jamie KirosOpenAIAdresă de e-mail confirmată pe openai.com
Peter OrbanzColumbia UniversityAdresă de e-mail confirmată pe stat.columbia.edu
Emily B. FoxStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Margo SeltzerUniversity of British ColumbiaAdresă de e-mail confirmată pe cs.ubc.ca
VICTORIA ABRAIRAAssistant Professor, Rutgers UniversityAdresă de e-mail confirmată pe scarletmail.rutgers.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Hanna WallachPartner Research Manager, Microsoft ResearchAdresă de e-mail confirmată pe dirichlet.net

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Ryan P. Adams

Princeton University

Adresă de e-mail confirmată pe princeton.edu - Pagina de pornire

Machine Learning Artificial Intelligence Statistics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Practical bayesian optimization of machine learning algorithms J Snoek, H Larochelle, RP Adams Advances in neural information processing systems 25, 2012	8432	2012
Taking the human out of the loop: A review of Bayesian optimization B Shahriari, K Swersky, Z Wang, RP Adams, N De Freitas Proceedings of the IEEE 104 (1), 148-175, 2015	4311	2015
Convolutional networks on graphs for learning molecular fingerprints DK Duvenaud, D Maclaurin, J Iparraguirre, R Bombarell, T Hirzel, ... Advances in neural information processing systems 28, 2015	3700	2015
Automatic chemical design using a data-driven continuous representation of molecules R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ... ACS central science 4 (2), 268-276, 2018	2645	2018
Scalable bayesian optimization using deep neural networks J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ... International conference on machine learning, 2171-2180, 2015	1110	2015
Probabilistic backpropagation for scalable learning of bayesian neural networks JM Hernández-Lobato, R Adams International conference on machine learning, 1861-1869, 2015	982	2015
Gradient-based hyperparameter optimization through reversible learning D Maclaurin, D Duvenaud, R Adams International conference on machine learning, 2113-2122, 2015	919	2015
Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007	908	2007
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach R Gómez-Bombarelli, J Aguilera-Iparraguirre, TD Hirzel, D Duvenaud, ... Nature materials 15 (10), 1120-1127, 2016	813	2016
Multi-task bayesian optimization K Swersky, J Snoek, RP Adams Advances in neural information processing systems 26, 2013	788	2013
Gaussian process kernels for pattern discovery and extrapolation A Wilson, R Adams International conference on machine learning, 1067-1075, 2013	724	2013
Mapping sub-second structure in mouse behavior AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ... Neuron 88 (6), 1121-1135, 2015	592	2015
Bayesian optimization with unknown constraints MA Gelbart, J Snoek, RP Adams arXiv preprint arXiv:1403.5607, 2014	513	2014
Composing graphical models with neural networks for structured representations and fast inference MJ Johnson, DK Duvenaud, A Wiltschko, RP Adams, SR Datta Advances in neural information processing systems 29, 2016	511	2016
Elliptical slice sampling I Murray, R Adams, D MacKay Proceedings of the thirteenth international conference on artificial …, 2010	506	2010
Bayesian reaction optimization as a tool for chemical synthesis BJ Shields, J Stevens, J Li, M Parasram, F Damani, JIM Alvarado, ... Nature 590 (7844), 89-96, 2021	373	2021
Advances in neural information processing systems J Snoek, H Larochelle, RP Adams, F Pereira, CJC Burges, L Bottou, ... Practical Bayesian optimization of machine learning algorithms, 2951-9, 2012	357	2012
Spectral representations for convolutional neural networks O Rippel, J Snoek, RP Adams Advances in neural information processing systems 28, 2015	345	2015
Discovering latent network structure in point process data S Linderman, R Adams International conference on machine learning, 1413-1421, 2014	327	2014
Freeze-thaw Bayesian optimization K Swersky, J Snoek, RP Adams arXiv preprint arXiv:1406.3896, 2014	277	2014

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