1-D Normal Splines in Julia
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Updated
Mar 21, 2021 - Julia
1-D Normal Splines in Julia
Additive interaction modelling using I-priors
Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)
Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia
Binary and multinomial probit regression using I-priors
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.
A functional regression framework built on Bayesian inference and RKHS's.
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
An R package for I-prior regression
Finite-Sample Integral Gaussian Processes
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
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