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All publications by John Shawe-taylor
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Smooth Operators
Steffen Grunewalder, Gretton Arthur and John Shawe-taylor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe and John Shawe-taylor
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain and John Shawe-taylor
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Regret Bounds for Gaussian Process Bandit Problems
Steffen Grünewälder, Jean-yves Audibert, Manfred Opper and John Shawe-taylor
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Large-Margin Structured Prediction via Linear Programming
Zhuoran Wang and John Shawe-taylor
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


PAC-Bayes Analysis Of Maximum Entropy Classification
John Shawe-taylor and David R. Hardoon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Matching Pursuit Kernel Fisher Discriminant Analysis
Tom Diethe, Zakria Hussain, David R. Hardoon and John Shawe-taylor
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Approximate maximum margin algorithms with rules controlled by the number of mistakes
Petroula Tsampouka and John Shawe-taylor
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data
Zakria Hussain, Françcois Laviolette, Mario Marchand, John Shawe-taylor, S. C. Brubaker and Matthew D. Mullin
Journal of Machine Learning Research, 2007


A Framework for Probability Density Estimation
John Shawe-taylor and Alexander N. Dolia
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Margin based Transductive Graph Cuts using Linear Programming
Kristiaan Pelckmans, John Shawe-taylor, Johan Suykens and Bart D. Moor
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Information Retrieval by Inferring Implicit Queries from Eye Movements
David R. Hardoon, John Shawe-taylor, Antti Ajanki, Kai Puolamäki and Samuel Kaski
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A probabilistic model for text kernels
Alain Lehmann and John Shawe-taylor
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Kernel-Based Learning of Hierarchical Multilabel Classification Models
Juho Rousu, Craig Saunders, Sándor Szedmák and John Shawe-taylor
Journal of Machine Learning Research, 2006


Learning hierarchical multi-category text classification models
Juho Rousu, Craig Saunders, Sándor Szedmák and John Shawe-taylor
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Efficient Computation of Gapped Substring Kernels on Large Alphabets
Juho Rousu and John Shawe-taylor
Journal of Machine Learning Research, 2005


The Set Covering Machine with Data-Dependent Half-Spaces
Mario Marchand, Mohak Shah, John Shawe-taylor and Marina Sokolova
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Linear Programming Boosting for Uneven Datasets
Jure Leskovec and John Shawe-taylor
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Set Covering Machine
Mario Marchand and John Shawe-taylor
Journal of Machine Learning Research, 2002


Text Classification using String Kernels
Huma Lodhi, Craig Saunders, John Shawe-taylor, Nello Cristianini and Christopher Watkins
Journal of Machine Learning Research, 2002


On Kernel-Target Alignment
Nello Cristianini, John Shawe-taylor, André Elisseeff and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001


On the Concentration of Spectral Properties
John Shawe-taylor, Nello Cristianini and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001


Spectral Kernel Methods for Clustering
Nello Cristianini, John Shawe-taylor and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001