S V N Vishwanathan - Google Scholar Citations

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Citations	16750	9532
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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 SahaSenior Staff 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
Professor Javen Qinfeng Shi 史勤峰Director and Founder, Probabilistic Graphical Model Group, Professor of 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 Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Introduction to machine learning E Alpaydin MIT press, 2020	7487	2020
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11 (Apr), 1201-1242, 2010	837	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	615	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	589	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	527*	2010
Predicting structured data G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar MIT press, 2007	435	2007
Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola Kernel methods in computational biology 15, 113-130, 2004	432	2004
Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32, 34, 2008	400	2008
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	381	2006
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	370	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	281	2010
Kernel Methods for Missing Variables. AJ Smola, SVN Vishwanathan, T Hofmann AISTATS, 2005	255	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	206	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	201	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	201	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	165	2007
Bundle methods for machine learning QV Le, AJ Smola, S Vishwanathan Advances in neural information processing systems, 1377-1384, 2008	162	2008
SimpleSVM SVN Vishwanathan, AJ Smola, MN Murty Proceedings of the Twentieth International Conference on International …, 2003	151	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	148	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	147	2013

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