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Thomas M. McDonald

2 accepted papers

2023

Nonparametric Gaussian Process Covariances via Multidimensional Convolutions

AISTATS 2023poster

A key challenge in the practical application of Gaussian processes (GPs) is selecting a proper covariance function. The process convolutions construction of GPs allows some additional flexibility, but still requires choosing a proper smoothing kernel, which is non-trivial. Previous approaches have b…

Cited by 1SourcePDFScholar
2021

Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features

NeurIPS 2021poster

Effectively modeling phenomena present in highly nonlinear dynamical systems whilst also accurately quantifying uncertainty is a challenging task, which often requires problem-specific techniques. We present a novel, domain-agnostic approach to tackling this problem, using compositions of physics-in…