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This tutorial explains how to impose some structure on hierarchical priors. Specifically, it shows how to impose that some entries of the H and W matrix are fixed to 0 and shouldn't be learned. Here are some comments
I think this is a great extension for the obs2prior tutorial. I will use it in the Learning Tools project and, when this is done, we could add a link to the Learning Tools notebook to show a practical example
We could give some context regarding when imposing structure on hierarchical priors is relevant.
if I understood correctly, this is mostly relevant when the researcher fears there is not enough data for a flexible hierarchical prior and the researcher has some intuition regarding which dim - to be confirmed
We could also give some hints regarding how to choose the structure of the hierarchy
Related to the two points above, we could adapt the numerical example to highlight the benefits from imposing a structure
H_zero_mask Option in obs2prior
Link to notebook (use branch "mask-H-obs2prior")
This tutorial explains how to impose some structure on hierarchical priors. Specifically, it shows how to impose that some entries of the H and W matrix are fixed to 0 and shouldn't be learned. Here are some comments
Originally posted by @charlespebereau in gsbDBI/torch-choice#5 (comment)
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