S V N Vishwanathan
S V N Vishwanathan
Associate Professor of Statistics and Computer Science, Purdue University
Verified email at stat.purdue.edu - Homepage
TitleCited byYear
Introduction to machine learning
E Alpaydin
MIT press, 2020
Graph kernels
SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt
Journal of Machine Learning Research 11 (Apr), 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
Integrated sustainable life cycle design: a review
K Ramani, D Ramanujan, WZ Bernstein, F Zhao, J Sutherland, ...
Journal of Mechanical Design 132 (9), 2010
Predicting structured data
G BakIr, T Hofmann, B Schölkopf, AJ Smola, 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
Introduction to machine learning
A Smola, SVN Vishwanathan
Cambridge University, UK 32, 34, 2008
Deep graph kernels
P Yanardag, SVN Vishwanathan
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Bundle methods for regularized risk minimization
CH Teo, SVN Vishwanthan, AJ Smola, QV Le
Journal of Machine Learning Research 11 (Jan), 311-365, 2010
Kernel Methods for Missing Variables.
AJ Smola, SVN Vishwanathan, T Hofmann
Multiple kernel learning and the SMO algorithm
Z Sun, N Ampornpunt, M Varma, S Vishwanathan
Advances in neural information processing systems, 2361-2369, 2010
Hash kernels for structured data
Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan
Journal of Machine Learning Research 10 (Nov), 2615-2637, 2009
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
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
Bundle methods for machine learning
QV Le, AJ Smola, S Vishwanathan
Advances in neural information processing systems, 1377-1384, 2008
SVN Vishwanathan, AJ Smola, MN Murty
Proceedings of the Twentieth International Conference on International …, 2003
Large scale max-margin multi-label classification with priors
B Hariharan, L Zelnik-Manor, M Varma, S Vishwanathan
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
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
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