308 citations · 312 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 308 cited
GPflow: A Gaussian process library using TensorFlow
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson +5
GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end. The distinguishing features of GPflow are that it uses variational…
stat.ML2014★ 4 cited
Simple approximate MAP Inference for Dirichlet processes
Yordan P. Raykov, Alexis Boukouvalas, Max A. Little
The Dirichlet process mixture (DPM) is a ubiquitous, flexible Bayesian nonparametric statistical model. However, full probabilistic inference in this model is analytically intracta…