Kernel Methods

Ensemble Nystrom Method NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Learning Non-Linear Combinations of Kernels NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Linear-time Algorithms for Pairwise Statistical Problems NeurIPS 2009 Locality-sensitive binary codes from shift-invariant kernels NeurIPS 2009 Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Submanifold density estimation NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 When Is There a Representer Theorem? Vector Versus Matrix Regularizers JMLR 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008 Automatic online tuning for fast Gaussian summation NeurIPS 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008