positive definite kernel

Spectral Truncation Kernels: Noncommutativity in C*-algebraic Kernel Machines JMLR 2026 Towards Unified Native Spaces in Kernel Methods JMLR 2025 Characterization of translation invariant MMD on Rd and connections with Wasserstein distances JMLR 2024 Geometric Learning with Positively Decomposable Kernels JMLR 2024 Metric Transforms and Low Rank Representations of Kernels for Fast Attention NeurIPS 2024 Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023 Kernel Methods in Hyperbolic Spaces ICCV 2021 Exponential Convergence of Testing Error for Stochastic Gradient Methods COLT 2018 Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NeurIPS 2018 On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions JMLR 2017 Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT 2016 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015 The Kendall and Mallows Kernels for Permutations ICML 2015 Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014 A Framework for Shape Analysis via Hilbert Space Embedding ICCV 2013 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Learning with Transformation Invariant Kernels NeurIPS 2007 Semigroup Kernels on Measures JMLR 2005