308 citations · 980 across the 64 of their papers we have counts for
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stat.ML2014★ 6 cited
Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial
Yarin Gal, Mark van der Wilk
In this tutorial we explain the inference procedures developed for the sparse Gaussian process (GP) regression and Gaussian process latent variable model (GPLVM). Due to page limit…
stat.ML2014★ 70 cited
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Yarin Gal, Mark van der Wilk, Carl E. Rasmussen
Gaussian processes (GPs) are a powerful tool for probabilistic inference over functions. They have been applied to both regression and non-linear dimensionality reduction, and offe…