S V N Vishwanathan

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	All	Since 2016
Citations	19013	10179
h-index	43	34
i10-index	85	64

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Alex SmolaAmazon Web ServicesVerified email at smola.org
Karsten BorgwardtProfessor, 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
Xinhua ZhangUniversity of Illinois at ChicagoVerified email at uic.edu
Narasimha Murty M/ M. N. Murty/M. N....honorary 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
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Ankan SahaSenior Staff Applied Researcher, LinkedinVerified email at linkedin.com
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
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, UoA | DeepSightX | Smarter RegionsVerified 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 VidalMINDS Director & Seder Professor at Johns Hopkins University, Amazon Scholar, NORCE Chief ScientistVerified 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 Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Introduction to machine learning E Alpaydin MIT press, 2020	8673	2020
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	971	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	700	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	683	2009
Integrated sustainable life cycle design: a review K Ramani, D Ramanujan, WZ Bernstein, F Zhao, J Sutherland, ... Journal of Mechanical Design 132 (9), 2010	576*	2010
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	505	2015
Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32 (34), 2008, 2008	476	2008
Predicting structured data G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar MIT press, 2007	470	2007
Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola Kernel methods in computational biology 15, 113-130, 2004	443	2004
Accelerated training of conditional random fields with stochastic gradient methods SVN Vishwanathan, NN Schraudolph, MW Schmidt, KP Murphy Proceedings of the 23rd international conference on Machine learning, 969-976, 2006	396	2006
Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010	299	2010
Kernel Methods for Missing Variables. AJ Smola, SVN Vishwanathan, T Hofmann AISTATS, 2005	276	2005
Hash kernels for structured data Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan The Journal of Machine Learning Research 10, 2615-2637, 2009	216	2009
Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2361-2369, 2010	209	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	206	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	171	2007
Distributed autonomous online learning: Regrets and intrinsic privacy-preserving properties F Yan, S Sundaram, SVN Vishwanathan, Y Qi IEEE Transactions on Knowledge and Data Engineering 25 (11), 2483-2493, 2012	166	2012
Bundle methods for machine learning QV Le, AJ Smola, S Vishwanathan Advances in neural information processing systems, 1377-1384, 2008	166	2008
Large scale max-margin multi-label classification with priors B Hariharan, L Zelnik-Manor, SVN Vishwanathan, M Varma ICML, 2010	164	2010
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion H Yun, HF Yu, CJ Hsieh, SVN Vishwanathan, I Dhillon arXiv preprint arXiv:1312.0193, 2013	162	2013

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