Shawe-taylor, John S.

13 publications

NeurIPS 2018 Empirical Risk Minimization Under Fairness Constraints Michele Donini, Luca Oneto, Shai Ben-David, John S Shawe-Taylor, Massimiliano Pontil

NeurIPS 2018 PAC-Bayes Bounds for Stable Algorithms with Instance-Dependent Priors Omar Rivasplata, Emilio Parrado-Hernandez, John S Shawe-Taylor, Shiliang Sun, Csaba Szepesvari

NeurIPS 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu, John S Shawe-Taylor

NeurIPS 2011 PAC-Bayesian Analysis of Contextual Bandits Yevgeny Seldin, Peter Auer, John S. Shawe-taylor, Ronald Ortner, François Laviolette

NeurIPS 2008 Theory of Matching Pursuit Zakria Hussain, John S. Shawe-taylor

NeurIPS 2007 Variational Inference for Diffusion Processes Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John S. Shawe-taylor

NeurIPS 2006 Tighter PAC-Bayes Bounds Amiran Ambroladze, Emilio Parrado-hernández, John S. Shawe-taylor

NeurIPS 2005 Two View Learning: SVM-2K, Theory and Practice Jason Farquhar, David Hardoon, Hongying Meng, John S. Shawe-taylor, Sándor Szedmák

NeurIPS 2003 Semi-Definite Programming by Perceptron Learning Thore Graepel, Ralf Herbrich, Andriy Kharechko, John S. Shawe-taylor

NeurIPS 2002 Learning Semantic Similarity Jaz Kandola, Nello Cristianini, John S. Shawe-taylor

NeurIPS 2002 String Kernels, Fisher Kernels and Finite State Automata Craig Saunders, Alexei Vinokourov, John S. Shawe-taylor

NeurIPS 2002 The Decision List Machine Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John S. Shawe-taylor

NeurIPS 2002 The Stability of Kernel Principal Components Analysis and Its Relation to the Process Eigenspectrum Christopher Williams, John S. Shawe-taylor