S V N Vishwanathan

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Alex SmolaBoson AIVerified email at smola.org
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryVerified email at biochem.mpg.de
Choon Hui TeoAmazonVerified email at amazon.com
Hyokun YunMachine Learning Scientist at AmazonVerified email at amazon.com
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Narasimha Murty M/ M. N. Murty/M. N....honorary professor, computer science and automation, indian institute of scienceVerified email at iisc.ac.in
Xinhua ZhangUniversity of Illinois ChicagoVerified email at uic.edu
Quoc V. LeResearch Scientist, GoogleVerified email at stanford.edu
Ankan SahaSenior Staff Applied Researcher, LinkedinVerified email at linkedin.com
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Li ChengProfessor, Department of ECE, University of Alberta, CanadaVerified email at ualberta.ca
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideVerified email at adelaide.edu.au
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Gideon DrorProfessor of Computer Science, Academic College of Tel AvivVerified email at mta.ac.il
Nan DingGoogleVerified email at google.com
Feng YanFacebookVerified email at fb.com
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Terry CaelliDeakin UniversityVerified email at deakin.edu.au

S V N Vishwanathan

Associate Professor of Statistics and Computer Science, Purdue University

Verified email at stat.purdue.edu - Homepage

Machine Learning Optimization


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Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	1423	2010
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	1399	2015
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1307	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	1249	2009
Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32 (34), 2008, 2008	764	2008
Predicting structured data G BakIr MIT press, 2007	553	2007
Curran Associates I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Inc.: Red Hook, NY, USA 30, 3149-3157, 2017	525	2017
Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola	476	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	415	2006
Kernel methods for missing variables AJ Smola, SVN Vishwanathan, T Hofmann International Workshop on Artificial Intelligence and Statistics, 325-332, 2005	330	2005
Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010	320	2010
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	296	2012
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	280	2009
SSVM: a simple SVM algorithm SVM Vishwanathan, MN Murty Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002	259	2002
Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2010	225	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	214	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	202	2013
DFacTo: Distributed factorization of tensors JH Choi, S Vishwanathan Advances in neural information processing systems 27, 2014	201	2014
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, 95-119, 2007	189	2007
Bundle methods for machine learning Q Le, A Smola, S Vishwanathan Advances in neural information processing systems 20, 2007	183	2007

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