Reviews: Faithful Inversion of Generative Models for Effective Amortized Inference

Neural Information Processing Systems 

The authors present a novel way to automatically generate the dependency structure for constructing inference network. They frame the problem as a graphical-model-inversion problem and propose to use variable elimination and the min-fill heuristic. The proposed method generates a faithful and minimal structure for constructing inference network. The authors show that the generated inference network outperforms the existing heuristically designed network and the fully connected network. I have the following questions related to this work.