rkhs

There are 0 repository under rkhs topic.

models-by-example
m-clark / models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
algorithms bayesian maximum-likelihood-estimation linear-regression logistic-regression neural-network zero-inflated mixed-models hamiltonian-monte-carlo lasso ridge-regression penalized-regression gradient-descent splines rkhs pca cox-model expectation-maximization machine-learning gaussian-processes
Language:R 71
NormalHermiteSplines.jl
IgorKohan / NormalHermiteSplines.jl
Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia
interpolation multivariate splines hermite-splines normal-splines rkhs approximation rbf function-approximation hermite-birkhoff matern-kernel
Language:Julia 10
392781 / neural-laplace
Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)
laplace-kernel neural-tangent-kernel ntk reproducing-kernel reproducing-kernel-hilbert-space rkhs
Language:Jupyter Notebook 4
antcc / rk-bfr
A functional regression framework built on Bayesian inference and RKHS's.
bayesian fda linear-regression logistic-regression mcmc rkhs
Language:Jupyter Notebook 3
antcc / rk-bfr-jump
A Bayesian functional regression framework built on RKHS's and reversible jump MCMC.
bayesian-inference fda linear-regression logistic-regression reversible-jump-mcmc rkhs
Language:Jupyter Notebook 3
NormalSplines.jl
IgorKohan / NormalSplines.jl
1-D Normal Splines in Julia
interpolation splines normal-splines rkhs approximation rbf
Language:Julia 3
ztanml / sigp
Finite-Sample Integral Gaussian Processes
gaussian-processes kernel-methods rkhs
Language:MATLAB 3
haziqj / phd-thesis
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
regression classification probit binary multinomial variable-selection kernel rkhs rkks hilbert-spaces krein-spaces frechet gateaux fisher-information gaussian-processes empirical-bayes em-algorithm variational-inference mcmc
Language:TeX 2
haziqj / iprior
An R package for I-prior regression
regression gaussian-processes priors gpr fisher-information reproducing kernel hilbert krein space rkhs rkks random-effects functional longitudinal multilevel
Language:R 1
haziqj / iprobit
Binary and multinomial probit regression using I-priors
binary multinomial probit regression classification rkhs kernel gaussian process gpr prior
Language:R 1
NormalSmoothingSplines.jl
IgorKohan / NormalSmoothingSplines.jl
Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia
approximation multivariate splines rkhs normal-splines rbf matern-kernel hermite-splines hermite-birkoff smoothing-splines smoothing
Language:Julia 1
ViktorAJStein / Regularized_f_Divergence_Particle_Flows
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
f-divergence gradient-flow mmd particle-flow regularization reproducing-kernel-hilbert-space rkhs wasserstein-gradient-flows sampling sampling-methods
Language:Python 1
DJLin0219 / NonlinearTensorSDR
Structure-Preserving Nonlinear Sufficient Dimension Reduction
csiq dimensionality-reduction eeg nonparametric-statistics rkhs tensor
Language:R 0
rafaol / active-learning-conditional-mean-embeddings
Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.
active-learning approximate-inference bayesian-optimization gaussian-processes kernel-methods rkhs conditional-mean-embeddings kernel-embeddings kernel-mean-embeddings
Language:Python 0
DJLin0219 / DisGraphicalModel
Graphical Models for Random Distributions of Functional Data with Application to fMRI
distributional-analysis fmri-data-analysis functionaldataanalysis graphical-lasso graphical-models neighborhood-search rkhs thresholding
Language:R
haziqj / iprior-interaction
Additive interaction modelling using I-priors
empirical-bayes fisher-information hilbert-spaces kernel krein-spaces reproducing-kernel rkhs rkks regression
Language:R