Statistical Machine Learning Group
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Hugh Salimbeni
Latest
GPflux: A Library for Deep Gaussian Processes
Deep Gaussian Processes: Advances in Models and Inference
Deep Gaussian Processes with Importance-Weighted Variational Inference
Orthogonally Decoupled Variational Gaussian Processes
Gaussian Process Conditional Density Estimation
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Deeply Non-Stationary Gaussian Processes
Gaussian Process Multiclass Classification with Dirichlet Priors for Imbalanced Data
Patch Kernels for Gaussian Processes in High-Dimensional Imaging Problems
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