Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez 1,2, Jan-Christian Hütter 1, Jonathan K. Pritchard

A common theme in causal inference is learning causal relationships between observed variables, also known as causal discovery. This is usually a daunting task, given the large number of candidate causal graphs and the combinatorial nature of the search space.