S V N Vishwanathan
S V N Vishwanathan
Associate Professor of Statistics and Computer Science, Purdue University
Verified email at stat.purdue.edu - Homepage
Cited by
Cited by
Graph kernels
SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt
Journal of Machine Learning Research 11, 1201-1242, 2010
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
Deep graph kernels
P Yanardag, SVN Vishwanathan
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
Introduction to machine learning
A Smola, SVN Vishwanathan
Cambridge University, UK 32 (34), 2008, 2008
Predicting structured data
G BakIr, T Hofmann, AJ Smola, B Schölkopf, B Taskar
MIT press, 2007
Fast kernels for string and tree matching
SVN Vishwanathan, AJ Smola
Kernel methods in computational biology 15, 113-130, 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
Bundle Methods for Regularized Risk Minimization.
CH Teo, SVN Vishwanathan, A Smola, QV Le
Journal of Machine Learning Research 11 (1), 2010
Kernel methods for missing variables
AJ Smola, SVN Vishwanathan, T Hofmann
International Workshop on Artificial Intelligence and Statistics, 325-332, 2005
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
Multiple kernel learning and the SMO algorithm
Z Sun, N Ampornpunt, M Varma, S Vishwanathan
Advances in neural information processing systems 23, 2361-2369, 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
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
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
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
Large scale max-margin multi-label classification with priors
B Hariharan, L Zelnik-Manor, SVN Vishwanathan, M Varma
ICML, 2010
Bundle Methods for Machine Learning.
AJ Smola, SVN Vishwanathan, QV Le
NIPS 20, 1377-1384, 2007
Fast computation of graph kernels
SVN Vishwanathan, KM Borgwardt, NN Schraudolph
NIPS 19, 131-138, 2006
DFacTo: Distributed factorization of tensors
JH Choi, S Vishwanathan
Advances in Neural Information Processing Systems 27, 1296-1304, 2014
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