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All publications by S.v.n. Vishwanathan
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A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 28, 2015


Robust Classification with Adiabatic Quantum Optimization
Vasil Denchev, Nan Ding, Hartmut Neven and S.v.n. Vishwanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun and S.v.n. Vishwanathan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


t-divergence Based Approximate Inference
Nan Ding, Yuan Qi and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 24, 2011


Large Scale Max-Margin Multi-Label Classification with Priors
Bharath Hariharan, Lihi Zelnik-manor, Manik Varma and S.v.n. Vishwanathan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Lower Bounds on Rate of Convergence of Cutting Plane Methods
Xinhua Zhang, Ankan Saha and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


t-logistic regression
Nan Ding and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


Tutorial summary: Survey of boosting from an optimization perspective
Manfred K. Warmuth and S.v.n. Vishwanathan
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Variable Metric Stochastic Approximation Theory
Peter Sunehag, Jochen Trumpf, Nicol N. Schraudolph and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Hash Kernels
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander L. Strehl, Alex J. Smola and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Efficient graphlet kernels for large graph comparison
Nino Shervashidze, Tobias Petri, Kurt Mehlhorn, Karsten M. Borgwardt and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


A quasi-Newton approach to non-smooth convex optimization
Jin Yu, Simon Günter, Nicol N. Schraudolph and S.v.n. Vishwanathan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Conditional random fields for multi-agent reinforcement learning
Xinhua Zhang, Douglas Aberdeen and S.v.n. Vishwanathan
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Learning to compress images and videos
Li Cheng and S.v.n. Vishwanathan
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 20, 2007


Accelerated training of conditional random fields with stochastic gradient methods
Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy and S.v.n. Vishwanathan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast and space efficient string kernels using suffix arrays
Choon H. Teo and S.v.n. Vishwanathan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast Computation of Graph Kernels
Karsten M. Borgwardt, Nicol N. Schraudolph and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


Fast Iterative Kernel PCA
Nicol N. Schraudolph, Simon Günter and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


implicit Online Learning with Kernels
Li Cheng, Dale Schuurmans, Shaojun Wang, Terry Caelli and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


Binet-Cauchy Kernels
Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 17, 2004


SimpleSVM
Alex J. Smola, M. N. Murty and S.v.n. Vishwanathan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Laplace Propagation
Eleazar Eskin, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 16, 2003


Fast Kernels for String and Tree Matching
Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 15, 2002