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Learning Invariances using the Marginal Likelihood

Closed-form Inference and Prediction in Gaussian Process State-Space Models

Convolutional Gaussian Processes

Data-Efficient Policy Search using PILCO and Directed-Exploration

Understanding Probabilistic Sparse Gaussian Process Approximations

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models

Variational Inference for Latent Variable Modelling of Correlation Structure