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Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization

Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees

Barely Biased Learning for Gaussian Process Regression

GPflux: A Library for Deep Gaussian Processes

A Framework for Interdomain and Multioutput Gaussian Processes

Capsule Networks -- A Probabilistic Perspective

Design of Experiments for Verifying Biomolecular Networks

On the Benefits of Invariance in Neural Networks

Variational Orthogonal Features

Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial