A spectral framework converts KL divergence estimation into least-squares problems and yields closed-form estimators for relative log-densities and divergences from feature moments.
Penalized discriminant analysis.The Annals of Statistics, 23(1):73–102, 1995.(cited on page 2)
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A Spectral Framework for Closed-Form Relative Density Estimation
A spectral framework converts KL divergence estimation into least-squares problems and yields closed-form estimators for relative log-densities and divergences from feature moments.