128 citations · 204 across the 9 of their papers we have counts for
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stat.ML2018★ 11 cited
Efficient Bayesian Inference for a Gaussian Process Density Model
Christian Donner, Manfred Opper
We reconsider a nonparametric density model based on Gaussian processes. By augmenting the model with latent Pólya--Gamma random variables and a latent marked Poisson process we ob…
stat.ML2018
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
Florian Wenzel, Theo Galy-Fajou, Christan Donner +2
We propose a scalable stochastic variational approach to GP classification building on Polya-Gamma data augmentation and inducing points. Unlike former approaches, we obtain closed…