S V N Vishwanathan - Google Scholar Citations

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Citations	10226	6796
h-index	40	34
i10-index	82	62

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Alex SmolaAmazon Web ServicesVerified email at smola.org
Karsten BorgwardtProfessor of Machine Learning in the Life Sciences at ETH ZurichVerified email at bsse.ethz.ch
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Hyokun YunMachine Learning Scientist at AmazonVerified email at amazon.com
Narasimha Murty M/ M. N. Murty/M. N....professor, computer science and automation, indian institute of scienceVerified email at iisc.ac.in
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Choon Hui TeoAmazonVerified email at amazon.com
Xinhua ZhangUniversity of Illinois at ChicagoVerified email at uic.edu
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Ankan SahaStaff Applied Researcher, LinkedinVerified email at linkedin.com
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Li ChengAssociate Professor, Department of ECE, University of Alberta, Canada; Adjunct staff, BII, A*STARVerified email at ualberta.ca
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Qinfeng (Javen) Shi 史勤峰Director and Founder, Probabilistic Graphical Model Group, University of AdelaideVerified email at adelaide.edu.au
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Gideon DrorProfessor of Computer Science, Academic College of Tel AvivVerified email at mta.ac.il
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Nan DingGoogleVerified email at google.com
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Rene VidalData Science, Imaging Science, Biomedical Engineering, Computer Science, Electrical, MechanicalVerified email at jhu.edu

S V N Vishwanathan

Associate Professor of Statistics and Computer Science, Purdue University

Verified email at stat.purdue.edu - Homepage

Machine Learning Optimization


Title	Cited by	Year
Introduction to machine learning E Alpaydin MIT press, 2014	1544	2014
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11 (Apr), 1201-1242, 2010	760	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	565	2005
Efficient graphlet kernels for large graph comparison N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt Artificial Intelligence and Statistics, 488-495, 2009	519	2009
Integrated sustainable life cycle design: a review K Ramani, D Ramanujan, WZ Bernstein, F Zhao, J Sutherland, ... Journal of Mechanical Design 132 (9), 091004, 2010	497*	2010
Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola Kernel methods in computational biology 15, 113-130, 2004	427	2004
Predicting structured data G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar MIT press, 2007	419	2007
Accelerated training of conditional random fields with stochastic gradient methods SVN Vishwanathan, NN Schraudolph, MW Schmidt, KP Murphy ICML 6, 969-976, 2006	377	2006
Introduction to machine learning M Gales	354	2008
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	291	2015
Bundle methods for regularized risk minimization CH Teo, SVN Vishwanthan, AJ Smola, QV Le Journal of Machine Learning Research 11 (Jan), 311-365, 2010	270	2010
Kernel Methods for Missing Variables. AJ Smola, SVN Vishwanathan, T Hofmann AISTATS, 2005	247	2005
Hash kernels for structured data Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan Journal of Machine Learning Research 10 (Nov), 2615-2637, 2009	199	2009
Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems, 2361-2369, 2010	195	2010
A scalable modular convex solver for regularized risk minimization CH Teo, A Smola, SVN Vishwanathan, QV Le Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	194	2007
Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes SVN Vishwanathan, AJ Smola, R Vidal International Journal of Computer Vision 73 (1), 95-119, 2007	161	2007
Bundle methods for machine learning QV Le, AJ Smola, S Vishwanathan Advances in neural information processing systems, 1377-1384, 2008	153	2008
SimpleSVM SVN Vishwanathan, AJ Smola, MN Murty	153	2003
Large scale max-margin multi-label classification with priors B Hariharan, L Zelnik-Manor, M Varma, S Vishwanathan Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010	141	2010
Fast computation of graph kernels SVN Vishwanathan, KM Borgwardt, NN Schraudolph NIPS 19, 131-138, 2006	140	2006

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