kernel methods

On Robustness of Kernel Clustering NeurIPS 2016 On Valid Optimal Assignment Kernels and Applications to Graph Classification NeurIPS 2016 Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT 2016 Optimal Learning Rates for Localized SVMs JMLR 2016 Persistence weighted Gaussian kernel for topological data analysis ICML 2016 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016 Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016 Relevant sparse codes with variational information bottleneck NeurIPS 2016 RLScore: Regularized Least-Squares Learners JMLR 2016 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Sorting out typicality with the inverse moment matrix SOS polynomial NeurIPS 2016 Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes JMLR 2016 Stochastic Optimization for Large-scale Optimal Transport NeurIPS 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 The Multiscale Laplacian Graph Kernel NeurIPS 2016 The Nonparametric Kernel Bayes Smoother AISTATS 2016 Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NeurIPS 2016 Using Kernel Methods and Model Selection for Prediction of Preterm Birth MLHC 2016 When VLAD Met Hilbert CVPR 2016 A la Carte – Learning Fast Kernels AISTATS 2015 A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015 A Stable Multi-Scale Kernel for Topological Machine Learning CVPR 2015 Classification with Low Rank and Missing Data ICML 2015 Deep Fried Convnets ICCV 2015 Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets CVPR 2015