| Proceedings of the 30th international conference on neural information processing systems I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Neurips 2017 30, 3149-3157, 2017 | 5707* | 2017 |
| Deep graph kernels P Yanardag, SVN Vishwanathan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 1774 | 2015 |
| Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005 | 1637 | 2005 |
| Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010 | 1608 | 2010 |
| Efficient graphlet kernels for large graph comparison N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt Artificial intelligence and statistics, 488-495, 2009 | 1449 | 2009 |
| Introduction to machine learning A Smola, SVN Vishwanathan Cambridge University, UK 32 (34), 2008, 2008 | 917 | 2008 |
| Predicting structured data A Smola, B Taskar, S Vishwanathan Cambridge, MA: MIT Press, 2007 | 591* | 2007 |
| Fast kernels for string and tree matching SVN Vishwanathan, AJ Smola Advances in neural information processing systems 15, 569-576, 2003 | 487 | 2003 |
| 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 |
| SSVM: a simple SVM algorithm SVM Vishwanathan, MN Murty Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 360 | 2002 |
| 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 | 346 | 2012 |
| Kernel methods for missing variables AJ Smola, SVN Vishwanathan, T Hofmann International Workshop on Artificial Intelligence and Statistics, 325-332, 2005 | 341 | 2005 |
| Bundle Methods for Regularized Risk Minimization. CH Teo, SVN Vishwanathan, A Smola, QV Le Journal of Machine Learning Research 11 (1), 2010 | 333 | 2010 |
| 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 | 286 | 2009 |
| Multiple kernel learning and the SMO algorithm Z Sun, N Ampornpunt, M Varma, S Vishwanathan Advances in neural information processing systems 23, 2010 | 243 | 2010 |
| Fast computation of graph kernels K Borgwardt, N Schraudolph, SVN Vishwanathan Advances in neural information processing systems 19, 2006 | 223* | 2006 |
| 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 | 217 | 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 | 212 | 2013 |
| DFacTo: Distributed factorization of tensors JH Choi, SV Vishwanathan Advances in neural information processing systems 27, 2014 | 210 | 2014 |
| Fast iterative kernel principal component analysis S Günter, N Schraudolph, S Vishwanathan MIT Press, 2007 | 198* | 2007 |
Alex SmolaBoson AIVerified email at smola.org
