Robuta

https://openreview.net/forum?id=zqQKGaNI4lp Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel | OpenReview We demonstrate for the first time an interpolating ensemble method that is consistent for a broad class of distributions. hilbert kernelconsistentinterpolatingensemblesvia https://deepai.org/publication/on-power-law-kernels-corresponding-reproducing-kernel-hilbert-space-and-applications On Power-law Kernels, corresponding Reproducing Kernel Hilbert Space and Applications | DeepAI Apr 9, 2012 - 04/09/12 - The role of kernels is central to machine learning. Motivated by the importance of power-law distributions in statistical modeling... on powerreproducing kernel https://deepai.org/publication/robust-kernel-cross-covariance-operators-in-reproducing-kernel-hilbert-space-toward-kernel-methods Robust Kernel (Cross-) Covariance Operators in Reproducing Kernel Hilbert Space toward Kernel... Feb 17, 2016 - 02/17/16 - To the best of our knowledge, there are no general well-founded robust methods for statistical unsupervised learning. Most of the ... cross covariancehilbert spacerobustkerneloperators https://jmlr.org/papers/v26/23-1551.html Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling numerical integrationreproducing kernel https://jmlr.org/papers/v24/21-1363.html Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces partial differentialreproducing kernellearningequationshilbert https://deepai.org/publication/a-unifying-framework-in-vector-valued-reproducing-kernel-hilbert-spaces-for-manifold-regularization-and-co-regularized-multi-view-learning A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization... Jan 31, 2014 - 01/31/14 - This paper presents a general vector-valued reproducing kernel Hilbert spaces (RKHS) framework for the problem of learning an unkn... https://www.jmlr.org/papers/v26/23-1551.html Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling numerical integrationreproducing kernel https://www.preprints.org/manuscript/202405.1733 Adaptive Supervised Learning on Data Streams in Reproducing Kernel Hilbert Spaces with Data... In recent years, the abundance of streaming data has posed significant challenges for traditional machine learning algorithms due to the dynamic nature and... supervised learningdata streams https://www.canterbury.ac.nz/research/about-uc-research/research-specialities-and-projects/research-projects/reproducing-kernel-hilbert-space-methods-in-dynamical-systems Reproducing Kernel Hilbert Space methods in dynamical systems | UC Nonlinear dynamical systems can admit a plethora of invariant and transient objects. Check out our research on reproducing Kernel Hilbert Space methods in... reproducing kernelhilbert spacedynamical systemsmethods https://arxiv.org/abs/2601.07967 [2601.07967] Scattered Data Histopolation in Averaging Kernel Hilbert Spaces Abstract page for arXiv paper 2601.07967: Scattered Data Histopolation in Averaging Kernel Hilbert Spaces 260107967scattereddataaveraging