From GusWiki

Contents 1 Tutorial - Sparse Linear Models: Bayesian Inference and Experimental Design 1.1 what I learned 1.2 to study 2 test

[edit] Tutorial - Sparse Linear Models: Bayesian Inference and Experimental Design

webpage

slides

[edit] what I learned

• Laplace prior (L1) is useful because points in the posterior tend to be sparse

[edit] to study

• uniform vs selective shrinkage

[edit] test

ICML2008