Learning Sparse Graphical Models – Part 1 (Friday 11/05/2010)

Ali began a discussion on learning the structure of sparse graphical models. The notes for the first lecture are attached. We will continue this discussion in a couple of weeks. The main reference he used was “High dimensional Ising model selection using ℓ1-regularized logistic regression.” by Ravikumar and Wainwright.

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