kernel methods

Generative Kernels for Exponential Families AISTATS 2011 Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011 Kernel Bayes' Rule NeurIPS 2011 Laplacian Support Vector Machines Trained in the Primal JMLR 2011 Learning a Robust Relevance Model for Search Using Kernel Methods JMLR 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NeurIPS 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011 Nonlinear Online Classification Algorithm with Probability Margin ACML 2011 -Norm Multiple Kernel Learning JMLR 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 The Kernel Beta Process NeurIPS 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NeurIPS 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011 Unsupervised Multiple Kernel Learning ACML 2011 Variable Sparsity Kernel Learning JMLR 2011 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Consistent Nonparametric Tests of Independence JMLR 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Ellipsoidal Support Vector Machines ACML 2010