Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
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Hugh Salimbeni
PhD (10/2015-10/2019)
Imperial College London
Interests
Machine learning
Deep probabilistic models
Approximate inference
Publications
GPflux: A Library for Deep Gaussian Processes (2021)
Stochastic Differential Equations with Variational Wishart Diffusions (2020)
Deep Gaussian Processes: Advances in Models and Inference (2019)
Deep Gaussian Processes with Importance-Weighted Variational Inference (2019)
Orthogonally Decoupled Variational Gaussian Processes (2018)
Gaussian Process Conditional Density Estimation (2018)
Doubly Stochastic Variational Inference for Deep Gaussian Processes (2017)
Deeply Non-Stationary Gaussian Processes (2017)
Gaussian Process Multiclass Classification with Dirichlet Priors for Imbalanced Data (2016)
Patch Kernels for Gaussian Processes in High-Dimensional Imaging Problems (2016)
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