SPECTRAL NORMALIZATION FOR GENERATIVE ADVERSARIAL NETWORKS阅读记录

1，A number of works (Ue-hara et al., 2016; Qi, 2017; Gulrajani et al., 2017) advocate the importance of Lipschitz continuity in assuring the boundedness of statistics

1.1  Ue-hara et al., 2016;Generative Adversarial Nets from a Density Ratio Estimation Perspective

1.1.1 density ratio estimation 

 Divergence estimation and two-sample homogeneity test under semiparametric density-ratio models

1.1.1.1  semiparametric density ratio estimator；

 semiparametric density ratio estimator

1.1.1.1.1  K b (?) ¼ b ?1 K(?=b)

Density Estimation for Statistics and Data Analysis