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
Hyokun YunMachine Learning Scientist at AmazonVerified email at amazon.com
Choon Hui TeoAmazonVerified 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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	1534	2015
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	1486	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1417	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	1325	2009
Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32 (34), 2008, 2008	826	2008
Curran Associates I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Inc.: Red Hook, NY, USA 30, 3149-3157, 2017	610	2017
Predicting structured data G BakIr MIT press, 2007	560	2007
Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola	478	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	418	2006
Kernel methods for missing variables AJ Smola, SVN Vishwanathan, T Hofmann International Workshop on Artificial Intelligence and Statistics, 325-332, 2005	335	2005
Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010	327	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	312	2012
SSVM: a simple SVM algorithm SVM Vishwanathan, MN Murty Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002	301	2002
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	285	2009
Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2010	229	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	216	2007
Advances in Neural Information Processing Systems, volume 30. Curran Associates R Fergus, S Vishwanathan, R Garnett Inc, 2017	211	2017
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	205	2013
DFacTo: Distributed factorization of tensors JH Choi, S Vishwanathan Advances in neural information processing systems 27, 2014	204	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	191	2007

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