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

Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia

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

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.

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

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

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

An R package for I-prior regression

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

Binary and multinomial probit regression using I-priors

Lifting-based Uncertain Control Invariant Dynamics

Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia

Structure-Preserving Nonlinear Sufficient Dimension Reduction

Interactive viewer for RKHS (Reproducing Kernel Hilbert Space) knowledge graphs - part of xtuff.ai Personal AI Multiverses

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

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

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.