Location: C405 Wells Hall (except as noted) |
Date | Topic | Presenter |
09/06, Thur | Chapter 1 of IGM: Probability and Graphs (4pm---5pm) | Honglang Wang |
09/21, Fri | Chapter 2 of IGM: Bayesian Network & Markov Network & Exact Inference (5pm---7pm) | Honglang Wang |
09/28, Fri | Chapter 3 of GEVI: Graphical Models as Exponential Families (I) (5pm----7pm) | Tao He |
10/05, Fri | Chapter 3 of GEVI: Graphical Models as Exponential Families (II) (5pm---7pm) | Tao He |
10/12, Fri | Chapter 3 of IGM: Mixing and MCMC (I) (4pm---6pm) | Xin Qi |
10/19, Fri | Chapter 3 of IGM: Mixing and MCMC (II) (5pm---7pm) | Xin Qi |
10/26, Fri | Chapter 4 of IGM: Variational Inference (I) (5pm---7pm) | Bin Gao |
11/02, Fri | Chapter 4 of IGM: Variational Inference (II) (5pm---7pm) | Yuzhen Zhou |
11/09, Fri | Chapter 17 of ESL: Learning Graphical Model (I) (5pm---7pm) | Xiaoqing Zhu |
11/16, Fri | Chapter 17 of ESL: Learning Graphical Model (II) (5pm---7pm) | Abhishek Kaul |
Related Materials
- [IGM] Lecture Notes on Inference in Graphical Models from Andrea Montanari @ Stanford.
- [GEVI] Graphical models, exponential families, and variational inference by Martin J. Wainwright, Michael I. Jordan. (Professor Anima Anandkumar Suggested Material)
- Jordan, M. I. (2004). Graphical Models. Statistical Science 19: 140155.
- Airoldi EM (2007). Getting Started in Probabilistic Graphical Models. PLoS Comput Biol 3(12): e252.
- [ESL] Chapter
17 Undirected Graphical Models, The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition, February 2009. Trevor Hastie, Robert Tibshirani, Jerome
Friedman. (Professor Larry Wasserman Suggested Materials)
- [SHD] Chapter 13 Graphical Modeling, Statistics for High-DimensionalData: Methods, Theory andApplications, Bhlmann, P. and van de Geer, S. (2011). (Professor Anima Anandkumar Suggested Material)
- [PRML] Chapter 8 Graphical Models, Pattern Recognition and Machine Learning, Christopher M. Bishop, (2006). (Professor Bickel Suggested Material)
- High-dimensional graphs and variable selection with the Lasso, Nicolai Meinshausen and Peter Buhlmann, Annals of Statistics, 2006. (Professor Bickel Suggested Material)
- Graphical models and message-passing algorithms: Some introductory lectures
- Research Papers on Cosma's notebook on Graphical Models