NME130/Graphical models

Present: Andreas, Andy, Ufuk, Nader, Richard, John, Pablo, Javad

CS/CNS/EE 155

• Course will be taught for the first time this fall; looking for feedback
• Key theme in graphical models: global insight from local observations
• Bayesian perspective; modeling, inference, learning
• Syllabus
  • Modeling and representation - 5 lectures
  • Inference - 6 lectures
  • Learning GMs from data - 5 lectures
  • Applications and case studies - 2 lectures
  • Current research directions 3 lectures
• Pre-requisites: machine learning (statistical models, generalization, distributions)