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.
1-D Normal Splines in Julia
Finite-Sample Integral Gaussian Processes
A functional regression framework built on Bayesian inference and RKHS's.
Code for the paper "Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces".
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)
An R package for I-prior regression
Multimodal LLM hallucination quantification via KL-smoothed scores + spectral/energy models (RKHS, hypergraphs).
Binary and multinomial probit regression using I-priors
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia
A generalized reinforcement learning framework for structured action representations and adaptive decision-making in evolving systems.
Structure-Preserving Nonlinear Sufficient Dimension Reduction
Graphical Models for Random Distributions of Functional Data with Application to fMRI
Additive interaction modelling using I-priors
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).
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