Ryan P. Adams

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David DuvenaudAssociate Professor, University of TorontoDirección de correo verificada de cs.toronto.edu
Hugo LarochelleGoogle Brain & MilaDirección de correo verificada de google.com
Matthew J. JohnsonGoogle BrainDirección de correo verificada de csail.mit.edu
Iain MurraySchool of Informatics, University of Edinburgh and AmazonDirección de correo verificada de ed.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleDirección de correo verificada de eng.cam.ac.uk
Richard ZemelProfessor of Computer Science, University of TorontoDirección de correo verificada de cs.toronto.edu
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgeDirección de correo verificada de mrao.cam.ac.uk
Jennifer N WeiGoogleDirección de correo verificada de google.com
Nando de FreitasCIFAR & DeepMindDirección de correo verificada de google.com
Li-wei H. LehmanMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
George E. DahlGoogle Inc.Dirección de correo verificada de google.com
Abigail G. DoyleUCLADirección de correo verificada de chem.ucla.edu
Elaine AngelinoMiller Fellow, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Jamie KirosOpenAIDirección de correo verificada de openai.com
Emily B. FoxStanford UniversityDirección de correo verificada de stanford.edu
Margo SeltzerUniversity of British ColumbiaDirección de correo verificada de cs.ubc.ca
VICTORIA ABRAIRAAssistant Professor, Rutgers UniversityDirección de correo verificada de scarletmail.rutgers.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Hanna WallachPartner Research Manager, Microsoft ResearchDirección de correo verificada de dirichlet.net
Peter OrbanzColumbia UniversityDirección de correo verificada de stat.columbia.edu

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Ryan P. Adams

Princeton University

Dirección de correo verificada de princeton.edu - Página principal

Machine Learning Artificial Intelligence Statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Practical bayesian optimization of machine learning algorithms J Snoek, H Larochelle, RP Adams Advances in neural information processing systems 25, 2012	7979	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	3975	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	3452	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	2435	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	1056	2015
Probabilistic backpropagation for scalable learning of bayesian neural networks JM Hernández-Lobato, R Adams International conference on machine learning, 1861-1869, 2015	942	2015
Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007	864	2007
Gradient-based hyperparameter optimization through reversible learning D Maclaurin, D Duvenaud, R Adams International conference on machine learning, 2113-2122, 2015	861	2015
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	774	2016
Multi-task bayesian optimization K Swersky, J Snoek, RP Adams Advances in neural information processing systems 26, 2013	750	2013
Gaussian process kernels for pattern discovery and extrapolation A Wilson, R Adams International conference on machine learning, 1067-1075, 2013	685	2013
Mapping sub-second structure in mouse behavior AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ... Neuron 88 (6), 1121-1135, 2015	559	2015
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	492	2016
Elliptical slice sampling I Murray, R Adams, D MacKay Proceedings of the thirteenth international conference on artificial …, 2010	486	2010
Bayesian optimization with unknown constraints MA Gelbart, J Snoek, RP Adams arXiv preprint arXiv:1403.5607, 2014	480	2014
Spectral representations for convolutional neural networks O Rippel, J Snoek, RP Adams Advances in neural information processing systems 28, 2015	329	2015
Discovering latent network structure in point process data S Linderman, R Adams International conference on machine learning, 1413-1421, 2014	324	2014
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	307	2021
Freeze-thaw Bayesian optimization K Swersky, J Snoek, RP Adams arXiv preprint arXiv:1406.3896, 2014	262	2014
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities RP Adams, I Murray, DJC MacKay Proceedings of the 26th annual international conference on machine learning …, 2009	262	2009

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