S V N Vishwanathan

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Alex SmolaBoson AIEmail yang diverifikasi di smola.org
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryEmail yang diverifikasi di biochem.mpg.de
Choon Hui TeoAmazonEmail yang diverifikasi di amazon.com
Hyokun YunMachine Learning Scientist at AmazonEmail yang diverifikasi di amazon.com
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichEmail yang diverifikasi di dbs.ifi.lmu.de
Narasimha Murty M/ M. N. Murty/M. N....honorary professor, computer science and automation, indian institute of scienceEmail yang diverifikasi di iisc.ac.in
Xinhua ZhangUniversity of Illinois ChicagoEmail yang diverifikasi di uic.edu
Quoc V. LeResearch Scientist, GoogleEmail yang diverifikasi di stanford.edu
Ankan SahaSenior Staff Applied Researcher, LinkedinEmail yang diverifikasi di linkedin.com
John LangfordMicrosoft Research New YorkEmail yang diverifikasi di hunch.net
Li ChengProfessor, Department of ECE, University of Alberta, CanadaEmail yang diverifikasi di ualberta.ca
James PettersonPrincipal Data Scientist, IAGEmail yang diverifikasi di nicta.com.au
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideEmail yang diverifikasi di adelaide.edu.au
Cheng Soon OngData61, CSIRO, CanberraEmail yang diverifikasi di anu.edu.au
Gideon DrorProfessor of Computer Science, Academic College of Tel AvivEmail yang diverifikasi di mta.ac.il
Nan DingGoogleEmail yang diverifikasi di google.com
Feng YanFacebookEmail yang diverifikasi di fb.com
bharath hariharanCornell UniversityEmail yang diverifikasi di cs.cornell.edu
Ben TaskarUniversity of WashingtonEmail yang diverifikasi di cs.washington.edu
Terry CaelliDeakin UniversityEmail yang diverifikasi di deakin.edu.au

Ikuti

S V N Vishwanathan

Associate Professor of Statistics and Computer Science, Purdue University

Email yang diverifikasi di stat.purdue.edu - Beranda

Machine Learning Optimization


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	1448	2010
Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	1446	2015
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1343	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	1282	2009
Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32 (34), 2008, 2008	791	2008
Curran Associates I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Inc.: Red Hook, NY, USA 30, 3149-3157, 2017	558	2017
Predicting structured data G BakIr MIT press, 2007	557	2007
Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola	477	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	416	2006
Kernel methods for missing variables AJ Smola, SVN Vishwanathan, T Hofmann International Workshop on Artificial Intelligence and Statistics, 325-332, 2005	331	2005
Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010	324	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	303	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	281	2009
SSVM: a simple SVM algorithm SVM Vishwanathan, MN Murty Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002	277	2002
Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2010	226	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	215	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	206	2013
DFacTo: Distributed factorization of tensors JH Choi, S Vishwanathan Advances in neural information processing systems 27, 2014	202	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	190	2007
Fast computation of graph kernels SVN Vishwanathan, KM Borgwardt, NN Schraudolph NIPS 19, 131-138, 2006	185	2006

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