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