2020
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
ICML 2020poster
Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks. However, a majority of generative modeling approaches are focused solely on the joint distribution $p(x)$ and utilize models where it is intractable to obtain the conditional distribution o…