DSI | MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation
AugmentedGaussianProcesses.jl, a full Gaussian Process toolkit | Théo Galy-Fajou | JuliaCon 2020
Uncertainty in Bayesian leave-one-out cross-validation based model comparison
Jeremy Oakley: Gaussian Processes for Computer Experiments
Statistical Rethinking 2023 - 16 - Gaussian Processes
Lecture 21 Gaussian Processes
1W-MINDS: May 18, Jing Lei: On High-Dimensional Gaussian Comparisons For Cross-Validation
Regression Models (Surrogate Based Opt.)
Cross-Validation Explained
Paper Club with Ben - Matérn Gaussian Processes on Graphs
CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations
Dr Amanda Muyskens: MuyGPs: Scalable Gaussian Process Model Estimation w/Uncertainty Quantification
Toni Karvonen - Two pitfalls in Gaussian process interpolation
(ML 12.7) Cross-validation (part 3)
A. Teckentrup - Convergence and Robustness of Gaussian Process Regression
Statistical Rethinking 2022 Lecture 16 - Gaussian Processes
12.5 Gaussian Processes: Regression (UvA - Machine Learning 1 - 2020)
Lecture 3 (part 2): Gaussian processes and Bayesian kernel machines
Machine learning | 9. Gaussian processes | Free Online Course
Machine learning - Gaussian processes
