Probabilistic Modelling and Reasoning
Lecturer: Michael Gutmann
Teaching assistant: Steven Kleinegesse (email)
Monday 2-3pm, room AT 4.09 Wednesday 2-3pm, in the “Course
Room” on Blackboard Collaborate
Please give Steven a heads-up by email with subject “drop-in” by 5pm the day before.
|Mar 30, 2020||The material for tutorial 8 is online.|
|Mar 29, 2020||Uploaded the slides on Variational Inference and Learning, the optional slides on Learning for HMMs, and the slides with the course recap.|
|Mar 27, 2020||Uploaded solutions to tutorial 7.|
|Mar 21, 2020||We will use Blackboard Collaborate for the online teaching (lectures and tutorials). I have updated the Learn page accordingly. You can access it via “Course Materials” in the navigation panel on the Learn page.|
|Mar 21, 2020||Uploaded the slides on Score Matching, Sampling and Monte Carlo Integration, and the material for tutorial 7.|
- The course is assessed by a written exam (100% of final mark). There is no assignment. PMR follows the Common Marking Scheme of the university.
- Please see here for the University’s archive of PMR exam papers (search for probabilistic modelling and reasoning).
- The exam date is announced here.
- The course follows the school-wide academic conduct policy.