Lawrence K Saul

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Geoffrey M. VoelkerUniversity of California, San DiegoAdresse e-mail validée de cs.ucsd.edu
Stefan SavageProfessor of Computer Science and Engineering, UC San DiegoAdresse e-mail validée de cs.ucsd.edu
Sam Roweis (Memorial)New York UniversityAdresse e-mail validée de buffalo.edu
Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchAdresse e-mail validée de alum.mit.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
John BlitzerGoogle ResearchAdresse e-mail validée de google.com
Fernando PereiraVP, GoogleAdresse e-mail validée de google.com
Diane HuEtsyAdresse e-mail validée de etsy.com
Jont B AllenUniversity of IL, Professor of ECEAdresse e-mail validée de illinois.edu
Yun MaoFacebookAdresse e-mail validée de fb.com
Do-kyum KimPhD Student of Computer Science, UCSDAdresse e-mail validée de cs.ucsd.edu
John Ashley BurgoyneUniversity of AmsterdamAdresse e-mail validée de uva.nl
Yuanyuan ZhouUniversity of California, San DiegoAdresse e-mail validée de eng.ucsd.edu
Peng HuangUniversity of MichiganAdresse e-mail validée de umich.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleAdresse e-mail validée de cs.toronto.edu
Ian D. FosterUC San DiegoAdresse e-mail validée de eng.ucsd.edu
Laurens van der MaatenResearch Director, Meta AI (FAIR)Adresse e-mail validée de fb.com
Andrew I. ScheinWaymoAdresse e-mail validée de andrewschein.com
Lyle UngarUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu

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Lawrence K Saul

Senior Research Scientist, Center for Computational Mathematics, Flatiron Institute

Adresse e-mail validée de flatironinstitute.org - Page d'accueil

Machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Nonlinear dimensionality reduction by locally linear embedding ST Roweis, LK Saul science 290 (5500), 2323-2326, 2000	17787	2000
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4987	1999
Distance metric learning for large margin nearest neighbor classification. KQ Weinberger, LK Saul Journal of machine learning research 10 (2), 2009	4506	2009
Distance metric learning for large margin nearest neighbor classification KQ Weinberger, J Blitzer, L Saul Advances in neural information processing systems 18, 2005	2426	2005
Think globally, fit locally: unsupervised learning of low dimensional manifolds LK Saul, ST Roweis Journal of machine learning research 4 (Jun), 119-155, 2003	2164	2003
Unsupervised learning of image manifolds by semidefinite programming KQ Weinberger, LK Saul International journal of computer vision 70, 77-90, 2006	1189	2006
Beyond blacklists: learning to detect malicious web sites from suspicious URLs J Ma, LK Saul, S Savage, GM Voelker Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	1097	2009
Kernel methods for deep learning Y Cho, L Saul Advances in neural information processing systems 22, 2009	795	2009
Advances in Neural Information Processing Systems 16 S Thrun, L Saul, B Schölkopf Proceedings of the 2003 Conference. illustrated edition. London, England …, 2004	744	2004
Identifying suspicious URLs: an application of large-scale online learning J Ma, LK Saul, S Savage, GM Voelker Proceedings of the 26th annual international conference on machine learning …, 2009	725	2009
Learning a kernel matrix for nonlinear dimensionality reduction KQ Weinberger, F Sha, LK Saul Proceedings of the twenty-first international conference on Machine learning …, 2004	650	2004
Mean field theory for sigmoid belief networks LK Saul, T Jaakkola, MI Jordan Journal of artificial intelligence research 4, 61-76, 1996	560	1996
Advances in neural information processing systems 17: proceedings of the 2004 conference LK Saul, Y Weiss, L Bottou MIT Press, 2005	418	2005
Multiplicative updates for nonnegative quadratic programming in support vector machines F Sha, L Saul, D Lee Advances in neural information processing systems 15, 2002	378	2002
Fast solvers and efficient implementations for distance metric learning KQ Weinberger, LK Saul Proceedings of the 25th international conference on Machine learning, 1160-1167, 2008	367	2008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding KQ Weinberger, LK Saul AAAI 6, 1683-1686, 2006	356	2006
Exploiting tractable substructures in intractable networks L Saul, M Jordan Advances in neural information processing systems 8, 1995	355	1995
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 2006	337	2006
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	327	2005
Global coordination of local linear models S Roweis, L Saul, GE Hinton Advances in neural information processing systems 14, 2001	301	2001

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