Seminar Gaussian Processes for Machine Learning

The seminar can cover the following topics:

• Bayesian modeling
• Linear Regression:weight-space view
• Linear Regression:function-space view
• Classification problems
• Gaussian Process Classification
• Covariance Functions
• Model Selection and Adaptation of Hyperparameters

To register for the seminar,  please write an email to Imma Curato until 11th Sepetember 2020

Please give your name, matriculation number, and your courses of studies and subjects you have taken in the area of Probability, Statistics, or Data Analysis.

The seminar is based on

• Gaussian Processes for Machine Learning. Carl Edward Rasmussen and Christopher K. I. Williams, MIT Press, (2006).