Yoshiaki Kitazawa

Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions

Density ratio estimation (DRE) is a core technique in machine learning used to capture relationships between two probability distributions. $f$-divergence loss functions, which are derived from variational representations of $f$-divergence, have become a standard choice in DRE for achieving cutting…