most citedActually Sparse Variational Gaussian Processes

2 citations · 3 across the 3 of their papers we have counts for

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stat.ML2023

Thin and Deep Gaussian Processes

Daniel Augusto de Souza, Alexander Nikitin, ST John +6

Gaussian processes (GPs) can provide a principled approach to uncertainty quantification with easy-to-interpret kernel hyperparameters, such as the lengthscale, which controls the…

stat.ML2023★ 2 cited

Actually Sparse Variational Gaussian Processes

Harry Jake Cunningham, Daniel Augusto de Souza, So Takao +2

Gaussian processes (GPs) are typically criticised for their unfavourable scaling in both computational and memory requirements. For large datasets, sparse GPs reduce these demands…