Estimation of Non-Normalized Statistical Models by Score Matching
Estimation of Non-Normalized Statistical Models by Score Matching
Aapo Hyvärinen
2005 · DBLP: journals/jmlr/Hyvarinen05
Journal of machine learning research · 2,101 Citations
TLDR
While the estimation of the gradient of log-density function is, in principle, a very difficult non-parametric problem, it is proved a surprising result that gives a simple formula that simplifies to a sample average of a sum of some derivatives of the log- density given by the model.
