Supplementary for Neural Methods for Point-wise Dependency Estimation Y ao-Hung Hubert Tsai

In this section, we shall show detailed derivations for the point-wise dependency estimation methods. We denote M be any class of functions m: Ω R . Work done at Carnegie Mellon University. This approach casts the PD estimation as the problem of estimating the'class'-posterior probability. The MI neural estimation methods can be dissected into two procedures: learning and inference .