reproducing kernel hilbert space

Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Spectral Regularization for Support Estimation NeurIPS 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 A Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Online Learning with Samples Drawn from Non-identical Distributions JMLR 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Regularized Policy Iteration NeurIPS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Learnability of Gaussians with Flexible Variances JMLR 2007 Refinable Kernels JMLR 2007 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007 Value Regularization and Fenchel Duality JMLR 2007 A Kernel Method for the Two-Sample-Problem NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 implicit Online Learning with Kernels NeurIPS 2006