kernel methods

Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015 GP Kernels for Cross-Spectrum Analysis NeurIPS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 kNN Hashing With Factorized Neighborhood Representation ICCV 2015 Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation CVPR 2015 Learning Multiple Visual Tasks While Discovering Their Structure CVPR 2015 Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015 Leave-One-Out Kernel Optimization for Shadow Detection ICCV 2015 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 Optimal Rates for Random Fourier Features NeurIPS 2015 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Per-Sample Kernel Adaptation for Visual Recognition and Grouping ICCV 2015 Regressive Virtual Metric Learning NeurIPS 2015 Riemannian Coding and Dictionary Learning: Kernels to the Rescue CVPR 2015 Sparse Subspace Clustering with Missing Entries ICML 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 Kendall and Mallows Kernels for Permutations ICML 2015