2024
Constraint-Free Structure Learning with Smooth Acyclic Orientations
ICLR 2024poster
The structure learning problem consists of fitting data generated by a Directed Acyclic Graph (DAG) to correctly reconstruct its arcs. In this context, differentiable approaches constrain or regularize an optimization problem with a continuous relaxation of the acyclicity property. The computational…