Kernel Methods

Less is More: Nyström Computational Regularization NeurIPS 2015 Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015 M-Statistic for Kernel Change-Point Detection NeurIPS 2015 On the Complexity of Learning with Kernels COLT 2015 Optimal Rates for Random Fourier Features NeurIPS 2015 Per-Sample Kernel Adaptation for Visual Recognition and Grouping ICCV 2015 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 Regressive Virtual Metric Learning NeurIPS 2015 Riemannian Coding and Dictionary Learning: Kernels to the Rescue CVPR 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification CVPR 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Statistical Topological Data Analysis - A Kernel Perspective NeurIPS 2015 The Human Kernel NeurIPS 2015 The Kendall and Mallows Kernels for Permutations ICML 2015 Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014 A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Compact Random Feature Maps ICML 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Convolutional Kernel Networks NeurIPS 2014 Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014