kernel methods

Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015 Two-stage sampled learning theory on distributions AISTATS 2015 Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel CVPR 2015 Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014 A Kernel Independence Test for Random Processes ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014 Cluster Canonical Correlation Analysis AISTATS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Convolutional Kernel Networks NeurIPS 2014 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014 Fast Distribution To Real Regression AISTATS 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 Fast SVM Training Using Approximate Extreme Points JMLR 2014 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Learning with Fredholm Kernels NeurIPS 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014 Memory Efficient Kernel Approximation ICML 2014 Multi-View Super Vector for Action Recognition CVPR 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014