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A. Teckentrup - Convergence and Robustness of Gaussian Process Regression
Fast variational learning in state-space Gaussian process models
Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis | PyData NYC 2019
ML Tutorial: Gaussian Processes (Richard Turner)
(ML 19.10) GP regression - the key step
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data.
Gaussian Process Kernels and Their Relation to Stellar Spot Distribution Models
GPSS2019 - Constraining Gaussian Processes by Variational Fourier Features
6.2 Gaussian Process Regression - Machine Learning Class 10-701
David Burt: Explicit Rates of Convergence for Sparse Variational Inference in GP Regression
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Last Updated: August 20, 2026
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