Prerequisites: 6.437, 6.438 or 6.867
Instructor: Professor Tamara Broderick (firstname.lastname@example.org)
Schedule: TR2:30-4 in room 4-153
This subject counts as an Artificial Intelligence concentration subject.
This course will cover Bayesian modeling and inference at an advanced graduate level. Topics include approximate inference (modern approaches and analysis of Monte Carlo, variational inference, etc), hierarchical modeling, (continuous and discrete) nonparametric Bayesian approaches, sensitivity and robustness, and evaluation.