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A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Sampling with Mirrored Stein Operators
Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions"
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
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