Advanced Probabilistic Machine Learning

STA571

Advanced concepts in probabilistic machine learning with a focus on discriminative and hierarchical generative models and applications. Topics include nonparametric Bayesian methods, optimization, sparsity, topic models, ranking, social network analysis, and more. Prerequisites: Linear algebra and STA250 or STA611 required. STA561D recommended. One course.

Curriculum Codes: 

QS