awesome-gaussian-processes
github.com/raulpl/awesome-gaussian-processes ↗A curated list of resources for learning Gaussian Processes
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📘 Books🌐 Blog Posts📺 Videos📦 Packages📝 Publications📌 Meetups
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Installation instructions →What's inside
📘 Books
- Applied Stochastic Differential Equations
- Automatic Model Construction with Gaussian ProcessesThesis
- Bayesian Data Analysis 3rd Edition - Chapter 21
Chapter 21
- Covariance Kernels for Fast Automatic Pattern Discovery and Extrapolation with Gaussian processesThesis
- Gaussian Processes for Machine Learning
- Gaussian Process Model ZooOther resources
📺 Videos
📝 Publications
- A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement LearningBayesian Optimization
- Causal Inference using Gaussian Processes with Structured Latent ConfoundersCausality
- Gaussian Processes for Survival AnalysisSurvival Analysis
- Gaussian processes for time-series modellingTime Series
- Kernels for Vector-Valued Functions: a ReviewMultiple-output Gaussian processes
- Taking the Human Out of the Loop: A Review of Bayesian OptimizationBayesian Optimization
🌐 Blog Posts
- A Visual Exploration of Gaussian ProcessesIntroductory
- Exploring Bayesian OptimizationApplications
- Gaussian Process Classification Model in various PPLsApplications
- Gaussian process demonstration with StanApplications
- Gaussian Processes, not quite for dummiesIntroductory
- Gaussian process introductory tutorial in Python¶Introductory
Showing a sample of 57 resources. View the full list on GitHub →