COMP8650 Advanced Topics in Machine Learning

About the course

This course explores a selected area relevant to statistical machine learning in depth, and will be taught by an SML staff member of internationally recognised standing and research interest in that area. Based on current SML staffing, this will be one of:

kernel methods

structured probabilistic models

reinforcement learning

convex analysis and optimisation

topics in information theory

decision theory

deep learning

differentiable optimisation in deep learning

Over the past several years the content has alternated between “convex analysis and optimisation” and “differentiable optimisation in deep learning". Students should contact the course convenor to find out what topic is planned for the coming semester.

When it meets

Every week

• Tue 14:00–16:00 lecture

Choose one lab (4 options)

• Wed 11:00–13:00
• Thu 11:00–13:00
• Thu 14:00–16:00
• Fri 09:00–11:00

2027 times aren't published yet, so these are last year's.

Requirements

To enrol in this course you must have completed COMP6670 Introduction to Machine Learning or COMP8600 Statistical Machine Learning. Additional Prerequisite courses for the Advanced Topic will be listed on the SoCo website (Special Topics in Computing page ) when the course topic is announced. Students who meet the pre-requisites can request a permission code following the instructions for Enrolling in CECC courses.

Wording from ANU Programs and Courses.