CS 159: Deep Probabilistic Models

The goal of this course is to familiarize students with the basics of probabilistic modeling in machine learning, with a strong focus on deep probabilistic models. Students will read and discuss recent research papers, as well as conduct a research project.

Course Description

  • Research-oriented course. Students will present lectures and conduct a research project.
  • Lectures on Tu/Th 10.30am-11:55am in Annenberg 105
  • First lecture: 4/2/2018
  • Piazza: https://piazza.com/class/jtzcdq4chpm5wq

Evaluation

  • Lecture presentation: 20%
  • Final project (Report + poster session): 80%
    • See Project Guidelines.
    • Project Proposal Due April 26th.
    • Project Report Due
      • June 7th by 5pm for groups containing graduate students or graduating seniors.
      • June 12th by 5pm for groups containing only non-graduating undergraduates.
    • Poster Session June 6th during class hours.

Prerequisites:

  • CS 155 or permission from instructor

Instructor

Main TAs:

Secondary TAs: