Rui-Yang Zhang

Gaussian Process

A series of blog posts on spatial-temporal Gaussian processes. Exploiting the Kronecker structure of temporal GP regression with 1d space.

Gaussian Process

A series of blog posts on spatial-temporal Gaussian processes. Temporal GP regression with 1d space.

Gaussian Process

Derivation Scribbles

Derivations for the Gaussian process predictive distribution. Single-output GP, observe with additive Gaussian noise.

Gaussian Process

Experiment Design

Reading Notes

Reading Notes on Environmental sensor placement with convolutional Gaussian neural processes

Bayesian Optimisation

Gaussian Process

Active Learning

Experiment Design

Reading Notes

Reading Notes on Pre-trained Gaussian Processes for Bayesian Optimization

Gradient Flow

Blog post on gradient flows in Euclidean and Wasserstein spaces.