ICML2008/Sparse Linear Models
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< ICML2008
Contents |
Tutorial - Sparse Linear Models: Bayesian Inference and Experimental Design
what I learned
- Laplace prior (L1) is useful because points in the posterior tend to be sparse
to study
- uniform vs selective shrinkage
