Latent Force Models with Gaussian Processes
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Modelling Transcriptional Regulation with Gaussian Processes
Sparse Variational Inference for Generalized GP Models
Bayesian Neural Nets
Optimization in Learning and Data Analysis
Machine learning for cognitive science 3: Kernel methods and Bayesian methods
Machine learning for cognitive science 2: Bayesian methods and statistical learning theory
Human Motion Modelling through Dimensional Reduction with Gaussian Processes
Interpreting Covariance Functions & Classification