This page contains resources about Gaussian Processes.
Online Courses
Video Lectures
Lecture Notes
Books and Book Chapters
- MacKay, D. J. (2003). "Chapter 45: Gaussian Processes". Information Theory, Inference and Learning Algorithms. Cambridge University Press.
- Williams, C. K., & Rasmussen, C. E. (2006). Gaussian Processes for Machine Learning. MIT Press.
- Murphy, K. P. (2012). "Chapter 15: Gaussian Processes". Machine Learning: A Probabilistic Perspective. MIT Press.
- Barber, D. (2012). "Chapter 19: Gaussian Processes". Bayesian Reasoning and Machine Learning. Cambridge University Press.
Scholarly Articles
- Rasmussen, C. E. (2004). Gaussian Processes in Machine Learning. In Advanced Lectures on Machine Learning. Springer Berlin Heidelberg.
- Seeger, M. (2004). Gaussian processes for machine learning. International journal of neural systems, 14(02), 69-106.
- Rasmussen, C. E., & Nickisch, H. (2010). Gaussian processes for machine learning (GPML) toolbox. Journal of Machine Learning Research, 11(Nov), 3011-3015.
Software
- GPML - Matlab code for the book by Williams & Rasmussen
Other Resources
- Gaussian Processes for Machine Learning - Book webpage