Program

Draft Version

Workshops

Full Schedule

Day 1: Introducing Gaussian Processes February 6 (Monday)


9:00-10:30 Introduction to Gaussian Processes [slides]

11:00-11:30 Coffee Break

11:30-13:00 Covariance Functions and the Marginal Likelihood [slides]

13:00-14:00 Lunch

14:00-16:00 Lab Class 1: Gaussian Processes [jupyter notebook]

16:30-17:30 Latent Variable Models with Gaussian Processes [slides]


Day 2: Bayesian Optimization February 7 (Tuesday)


9:00-11:00 Introduction to Bayesian Optimization [slides]

11:00-11:30 Coffee Break

11:30-13:00 Advanced Topics in Bayesian Optimization I [slides]

13:00-14:00 Lunch

14:00-16:00 Lab Class 2: Bayesian Optimization [jupyter notebook]

16:30-17:30 Advanced Topics in Bayesian Optimization II [slides]