Jasper Snoek - Google Scholar Citations

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Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Hugo LarochelleGoogle BrainVerified email at usherbrooke.ca
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Alex MihailidisProfessor, Department of Occupational Science & Occupational Therapy, University of TorontoVerified email at utoronto.ca
Babak TaatiScientist & Assistant Professor, Toronto Rehabilitation Institute - UHN & University of TorontoVerified email at uhn.ca
Oren RippelMIT, Harvard UniversityVerified email at mit.edu
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
David R KelleyCalico LabsVerified email at calicolabs.com
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
PrabhatLawrence Berkeley National Lab; UC BerkeleyVerified email at lbl.gov
Jesse HoeyAssociate Professor of Computer Science, University of WaterlooVerified email at cs.uwaterloo.ca
Kevin Leyton-BrownProfessor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, AmiiVerified email at cs.ubc.ca
James BergstraVerified email at uwaterloo.ca
Holger HoosProfessor of Computer Science, Leiden University & University of British ColumbiaVerified email at cs.ubc.ca
Michael (Mike) GelbartUniversity of British ColumbiaVerified email at cs.ubc.ca
David DuvenaudAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Shamim NematiEmory UniversityVerified email at emory.edu
Mohammad GhassemiScientist, The Massachusetts Institute of TechnologyVerified email at mit.edu
Michael A OsborneAssociate Professor, University of OxfordVerified email at robots.ox.ac.uk
Ahmad AklPhD Candidate, University of TorontoVerified email at utoronto.ca

Jasper Snoek

Google Brain

Verified email at google.com - Homepage

Machine Learning


Title	Cited by	Year
Practical bayesian optimization of machine learning algorithms J Snoek, H Larochelle, RP Adams Advances in neural information processing systems, 2951-2959, 2012	2229	2012
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	272	2015
Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks DR Kelley, J Snoek, JL Rinn Genome research 26 (7), 990-999, 2016	263	2016
Multi-task bayesian optimization K Swersky, J Snoek, RP Adams Advances in neural information processing systems, 2004-2012, 2013	252	2013
Towards an empirical foundation for assessing bayesian optimization of hyperparameters K Eggensperger, M Feurer, F Hutter, J Bergstra, J Snoek, H Hoos, ... NIPS workshop on Bayesian Optimization in Theory and Practice 10, 3, 2013	137	2013
Bayesian optimization with unknown constraints MA Gelbart, J Snoek, RP Adams arXiv preprint arXiv:1403.5607, 2014	126	2014
Input warping for bayesian optimization of non-stationary functions J Snoek, K Swersky, R Zemel, R Adams International Conference on Machine Learning, 1674-1682, 2014	115	2014
Spectral representations for convolutional neural networks O Rippel, J Snoek, RP Adams Advances in neural information processing systems, 2449-2457, 2015	109	2015
Freeze-thaw Bayesian optimization K Swersky, J Snoek, RP Adams arXiv preprint arXiv:1406.3896, 2014	94	2014
Automated detection of unusual events on stairs J Snoek, J Hoey, L Stewart, RS Zemel, A Mihailidis Image and Vision Computing 27 (1-2), 153-166, 2009	71	2009
Towards a single sensor passive solution for automated fall detection M Belshaw, B Taati, J Snoek, A Mihailidis 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011	49	2011
Nonparametric guidance of autoencoder representations using label information J Snoek, RP Adams, H Larochelle Journal of Machine Learning Research 13 (Sep), 2567-2588, 2012	40	2012
Winner's curse? On pace, progress, and empirical rigor D Sculley, J Snoek, A Wiltschko, A Rahimi	38	2018
Raiders of the lost architecture: Kernels for Bayesian optimization in conditional parameter spaces K Swersky, D Duvenaud, J Snoek, F Hutter, MA Osborne arXiv preprint arXiv:1409.4011, 2014	33	2014
Bayesian optimization and semiparametric models with applications to assistive technology JR Snoek University of Toronto, 2013	26	2013
Deep bayesian bandits showdown: An empirical comparison of bayesian deep networks for thompson sampling C Riquelme, G Tucker, J Snoek arXiv preprint arXiv:1802.09127, 2018	25	2018
A determinantal point process latent variable model for inhibition in neural spiking data J Snoek, R Zemel, RP Adams Advances in Neural Information Processing Systems, 1932-1940, 2013	24	2013
Learning latent permutations with gumbel-sinkhorn networks G Mena, D Belanger, S Linderman, J Snoek arXiv preprint arXiv:1802.08665, 2018	23	2018
Sequential regulatory activity prediction across chromosomes with convolutional neural networks DR Kelley, YA Reshef, M Bileschi, D Belanger, CY McLean, J Snoek Genome research 28 (5), 739-750, 2018	22	2018
Vision-based posture assessment to detect and categorize compensation during robotic rehabilitation therapy B Taati, R Wang, R Huq, J Snoek, A Mihailidis 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012	19	2012

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