Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift

Paulo Akira F. Enabe, Rodrigo Provasi

A unified framework for learning under covariate shift is presented, in which a constrained density-ratio network approximates the Radon-Nikodym derivative $r^{\star }=dP/dQ$ and fe…