Ryan P. Adams

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David DuvenaudAssociate Professor, University of TorontoCorreu electrònic verificat a cs.toronto.edu
Hugo LarochelleGoogle DeepMind & MilaCorreu electrònic verificat a google.com
Matthew J. JohnsonGoogle BrainCorreu electrònic verificat a csail.mit.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleCorreu electrònic verificat a eng.cam.ac.uk
Iain MurraySchool of Informatics, University of EdinburghCorreu electrònic verificat a ed.ac.uk
Richard ZemelProfessor of Computer Science, University of TorontoCorreu electrònic verificat a cs.toronto.edu
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgeCorreu electrònic verificat a mrao.cam.ac.uk
Nando de FreitasCIFAR & DeepMindCorreu electrònic verificat a google.com
Abigail G. DoyleUCLACorreu electrònic verificat a chem.ucla.edu
George E. DahlGoogle Inc.Correu electrònic verificat a google.com
Peter OrbanzColumbia UniversityCorreu electrònic verificat a stat.columbia.edu
Jamie KirosOpenAICorreu electrònic verificat a openai.com
Elaine AngelinoMiller Fellow, UC BerkeleyCorreu electrònic verificat a eecs.berkeley.edu
Sigrid AdriaenssensPrinceton UniversityCorreu electrònic verificat a princeton.edu
Emily B. FoxStanford UniversityCorreu electrònic verificat a stanford.edu
Diana CaiCenter for Computational Mathematics, Flatiron InstituteCorreu electrònic verificat a flatironinstitute.org
Margo SeltzerUniversity of British ColumbiaCorreu electrònic verificat a cs.ubc.ca
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyCorreu electrònic verificat a cs.berkeley.edu
Hanna WallachPartner Research Manager, Microsoft ResearchCorreu electrònic verificat a dirichlet.net
Joshua B. TenenbaumMITCorreu electrònic verificat a mit.edu

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Ryan P. Adams

Princeton University

Correu electrònic verificat a princeton.edu - Pàgina d'inici

Machine Learning Artificial Intelligence Statistics


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Practical bayesian optimization of machine learning algorithms J Snoek, H Larochelle, RP Adams Advances in neural information processing systems 25, 2012	11048	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	6045	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	4602	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	3697	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	1372	2015
Probabilistic backpropagation for scalable learning of bayesian neural networks JM Hernández-Lobato, R Adams International conference on machine learning, 1861-1869, 2015	1208	2015
Gradient-based hyperparameter optimization through reversible learning D Maclaurin, D Duvenaud, R Adams International conference on machine learning, 2113-2122, 2015	1131	2015
Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007	1128	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	1031	2016
Multi-task bayesian optimization K Swersky, J Snoek, RP Adams Advances in neural information processing systems 26, 2013	965	2013
Gaussian process kernels for pattern discovery and extrapolation A Wilson, R Adams International conference on machine learning, 1067-1075, 2013	849	2013
Mapping sub-second structure in mouse behavior AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ... Neuron 88 (6), 1121-1135, 2015	761	2015
Bayesian optimization with unknown constraints MA Gelbart, J Snoek, RP Adams arXiv preprint arXiv:1403.5607, 2014	708	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	703	2021
Elliptical slice sampling I Murray, R Adams, D MacKay Proceedings of the thirteenth international conference on artificial …, 2010	580	2010
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	567	2016
Spectral representations for convolutional neural networks O Rippel, J Snoek, RP Adams Advances in neural information processing systems 28, 2015	430	2015
Autograd: Effortless gradients in numpy D Maclaurin, D Duvenaud, RP Adams ICML 2015 AutoML workshop 238 (5), 2015	350	2015
Discovering latent network structure in point process data S Linderman, R Adams International conference on machine learning, 1413-1421, 2014	350	2014
Freeze-thaw Bayesian optimization K Swersky, J Snoek, RP Adams arXiv preprint arXiv:1406.3896, 2014	331	2014

En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.

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