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All publications by S.v.n. Vishwanathan
authors venues years

**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