References
Galy-Fajou, Théo, Valerio Perrone, and Manfred Opper. 2021. “Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation.” Entropy 23 (8): 990.
Leibfried, Felix, Vincent Dutordoir, S. T. John, and Nicolas Durrande. 2021. “A Tutorial on Sparse Gaussian Processes and Variational Inference.” arXiv:2012.13962 [Cs, Stat], June.
Matthews, Alexander Graeme de Garis. 2017. “Scalable Gaussian Process Inference Using Variational Methods.” Thesis, University of Cambridge.
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