Special Topics in Machine Learning
|Offered This Year?||No|
|When Offered?||Most Years|
This seminar course explores current research topics in statistical machine learning. Focus varies by year, and may include Bayesian nonparametrics; models for spatial, temporal, or structured data; and variational or Monte Carlo approximations. Course meetings combine lectures with presentation and discussion of classical and contemporary research papers. Students will apply some of this material to a project, ideally drawn from their own research interests.