kernel methods

Scalable kernels for graphs with continuous attributes NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 Smooth Operators ICML 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013 The Multi-Task Learning View of Multimodal Data ACML 2013 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013 Vanishing Component Analysis ICML 2013 A Kernel Two-Sample Test JMLR 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Data dependent kernels in nearly-linear time AISTATS 2012 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices JMLR 2012 Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Gradient-based kernel method for feature extraction and variable selection NeurIPS 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Kernel Hyperalignment NeurIPS 2012 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems COLT 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012