UW Graphical Models Reading Group
Monday, 2:30PM - 3:45PM, CS 4310
Feel free to email we with more suggestions on topics we should cover. Some ideas are:
- Mixtures and conditional mixtures
- The EM algorithm
- Hidden Markov models
- The junction tree algorithm
- The HMM and state space model revisited
- Trees and polytrees
- Features, maximum entropy, and duality
- Nonparametric models
- Model selection
| Jan 29 | Jurgen Van Gael | d-separation and the Bayes Ball algorithm |
| Feb 5 | - | No meeting because of qualifying exams. |
| Feb 12 | Sang Kyun Lee | The elimination algorithm |
| Feb 19 | David Andrzejewski | Statistical Concepts |
| Feb 26 | Andrew Goldberg | Linear Regression and the LMS Algorithm |
| Mar 5 | Ameet Soni | Linear classification |
| Mar 12 | Gary Pack | The Sum-Product Algorithm, Belief Propagation |
| Mar 19 | Yue Pan | Markov Chain Monte Carlo Methods for Inference |
| Mar 26 | Frank DiMaio | Variational Methods |
| Apr 2 | Ted Wild | Variational Methods |
| Apr 9 | Hector Corrada Bravo | The Exponential Family |
| Apr 16 | Jurgen Van Gael | Expectation Propagation |
| Apr 23 | - | |
| Apr 30 | - | |
| May 7 | - |