B553 Public Schedule

CS B553: Probabilistic Approaches to Artificial Intelligence

This is the publicly accessible version of the schedule and course materials. Some links may not be available due to copyright or privacy concerns. If you are or were a student in this class, please use OnCourse to access the full site.

external link: Syllabus

Class schedule

This schedule is tentative and may change throughout the semester.

Readings are from the following books:

  • Koller and Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009.
  • Ross, A First Course in Probability, Macmillan, 1984.

WeekDateTopicReadings and resources
1Jan 8external link: IntroductionKoller 1.1-1.2, 2.1-2.1.2; Optional: Ross ch 1, 2
 Jan 10external link: Probability reviewKoller 2.1.3-2.3; Optional: Ross ch 3, 4.1-4.4
2Jan 15external link: Naive Bayes, external link: Assignment 1Koller 3.1; Optional: Ross ch 6.1-6.4, 7.1-7.5
 Jan 17external link: Bayes net representationKoller 3.2-3.4
3Jan 22external link: Bayes net inferenceKoller 9.1-9.3
 Jan 24external link: Bayes net inference cont'd A1 dueBoy/Girl Paradox: external link: Science News article, external link: Lynch 2011 paper
4Jan 29external link: Markov Networks, external link: Assignment 2Koller 5.1, 4.1-4.3, external link: A2 files
 Jan 31external link: Markov Networks cont'dKoller 4.4-4.7
5Feb 5external link: Markov net inferenceKoller 9.4, 10.1
 Feb 7external link: Sum-product message passingKoller 10.2-10.3
6Feb 12external link: Clique treesKoller 10.4-10.5
 Feb 13Assignment 2 due 
 Feb 14external link: Loopy BPKoller 11.3-11.3.5.1
7Feb 19external link: MAP inferenceKoller 13.1-13.4
 Feb 21external link: MAP & Graph cutsKoller 13.6, external link: Assignment 3 updated 3/2, external link: A3 files
8Feb 26external link: More graph cuts 
 Feb 28external link: Expansion and swap move algorithms 
9Mar 5external link: Particle samplingKoller 12.1-12.2.1
 Mar 7external link: Gibbs samplingKoller 12.2.2-12.2.4
 Mar 8Assignment 3 due 
10Mar 12No class. Spring break! 
 Mar 14No class. Spring break! 
11Mar 19external link: MCMCKoller 12.3-12.3.3
 Mar 21external link: MCMC cont'dKoller 12.3.5
 Mar 25Final Project Proposal due 
12Mar 26external link: Continuous variablesKoller ch 7
 Mar 28external link: Continuous variables cont'dKoller 14.1-14.3
13Apr 2external link: Intro to LearningKoller ch 16
 Apr 4external link: Maximum likelihood and Bayesian estimationKoller 17.1-17.4
14Apr 9No class. 
 Apr 10Final Project Interim report due 
 Apr 11external link: Hidden variables and EMKoller 19.1
 Apr 13external link: Assignment 4, external link: A4 files 
15Apr 16external link: EMKoller 19.2
 Apr 18external link: Structure learningKoller 18.1-18.3
16Apr 23Project Presentations 
 Apr 25Project Presentations 
 Apr 28A4 due 
 May 1Final Project Due