S V N Vishwanathan

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	All	Since 2016
Citations	19372	10487
h-index	44	34
i10-index	87	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
Choon Hui TeoAmazonVerified email at amazon.com
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Ankan SahaSenior Staff Applied Researcher, LinkedinVerified email at linkedin.com
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
Li ChengAssociate Professor, Department of ECE, University of Alberta, Canada; Adjunct staff, BII, A*STARVerified email at ualberta.ca
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
Vasil S DenchevGoogleVerified email at google.com
Nan DingGoogleVerified email at google.com
bharath hariharanCornell UniversityVerified email at cs.cornell.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	8800	2020
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11, 1201-1242, 2010	1007	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	723	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	717	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	580*	2010
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	531	2015
Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32 (34), 2008, 2008	483	2008
Predicting structured data G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar MIT press, 2007	471	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	395	2006
Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010	297	2010
Kernel methods for missing variables. AJ Smola, SVN Vishwanathan, T Hofmann AISTATS 261, 261, 2005	283	2005
Hash kernels for structured data. Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan Journal of Machine Learning Research 10 (11), 2009	223	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	213	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	208	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	178	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	169	2012
Bundle Methods for Machine Learning. AJ Smola, SVN Vishwanathan, QV Le NIPS 20, 1377-1384, 2007	167	2007
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	166	2013
Large scale max-margin multi-label classification with priors B Hariharan, L Zelnik-Manor, SVN Vishwanathan, M Varma ICML, 2010	162	2010

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