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

Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia

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

Finite-Sample Integral Gaussian Processes

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

1-D Normal Splines in Julia

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

Code for the paper "Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces".

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

An R package for I-prior regression

Binary and multinomial probit regression using I-priors

Multimodal LLM hallucination quantification via KL-smoothed scores + spectral/energy models (RKHS, hypergraphs).

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

Lifting-based Uncertain Control Invariant Dynamics

Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia

Structure-Preserving Nonlinear Sufficient Dimension Reduction

A generalized reinforcement learning framework for structured action representations and adaptive decision-making in evolving systems.

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).

Reproducing Kernel Hilbert Space: kernels, MMD, and Dense Associative Memory (LSE/LSR energy)

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.