conftrace_

reproducing kernel hilbert space

334 papers

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Also known as

RKHS

Co-occurring keywords

kernel methods (1097) gaussian process (1200) maximum mean discrepancy (164) regret bound (1926) kernel ridge regression (111) support vector machine (978) convex optimization (1321) kernel mean embedding (43) generalization bound (652) bayesian optimization (624)

Papers

Universal Kernels on Non-Standard Input Spaces NIPS 2010
Online Learning with Samples Drawn from Non-identical Distributions JMLR 2009
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
A Fast, Consistent Kernel Two-Sample Test NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009
Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Regularized Policy Iteration NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
Supervised Bipartite Graph Inference NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Universal Multi-Task Kernels JMLR 2008
Refinable Kernels JMLR 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Kernel Measures of Conditional Dependence NIPS 2007
Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007
Learnability of Gaussians with Flexible Variances JMLR 2007
Value Regularization and Fenchel Duality JMLR 2007
A Kernel Method for the Two-Sample-Problem NIPS 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006
implicit Online Learning with Kernels NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
Kernel Methods for Measuring Independence JMLR 2005