October 15: Focused on Bayesian topics.
October 16: Dedicated to machine learning (potentially Bayesian) topics.
October 17: Under definition, with opportunities for morning activities and networking in the afternoon.
The tentative schedule for the first two days includes:
9:00 AM – 11:00 AM: Keynote presentations
11:00 AM – 1:00 PM: Lunch (+ posters)
1:00 PM – 3:00 PM: Parallel workshops
3:30 PM – 5:00 PM: Parallel sessions for individual talks
