By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia

Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)

A Bayesian functional regression framework built on RKHS's and reversible jump MCMC.

1-D Normal Splines in Julia

Finite-Sample Integral Gaussian Processes

A functional regression framework built on Bayesian inference and RKHS's.

My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.

Binary and multinomial probit regression using I-priors

An R package for I-prior regression

Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia

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.

Structure-Preserving Nonlinear Sufficient Dimension Reduction

Additive interaction modelling using I-priors

Graphical Models for Random Distributions of Functional Data with Application to fMRI

This repository provides code for the simulations and experiments in our paper: Metric Learning in an RKHS @ The 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025).