hilbert space embedding

Provably Correct k-Means Clustering of Persistence Diagrams UAI 2026 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020 Initialization matters: Orthogonal Predictive State Recurrent Neural Networks ICLR 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Kernel Mean Estimation and Stein Effect ICML 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 A Framework for Shape Analysis via Hilbert Space Embedding ICCV 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013 Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010 Nonparametric Tree Graphical Models AISTATS 2010 Kernel Measures of Independence for non-iid Data NeurIPS 2008