Seems like a microstate vs macrostate situation. I suspect that coarse-graining random parts of a roll sequence gives an accurate probability distribution in one case, and a very biased distribution in the other.
Likely yes, but secretly what motivated my post was a discussion of outlier detection for the purpose of alignment, and for that purpose we can’t just assume a coarsening, as it instead has to be learned or hard-coded.
Seems like a microstate vs macrostate situation. I suspect that coarse-graining random parts of a roll sequence gives an accurate probability distribution in one case, and a very biased distribution in the other.
Likely yes, but secretly what motivated my post was a discussion of outlier detection for the purpose of alignment, and for that purpose we can’t just assume a coarsening, as it instead has to be learned or hard-coded.