Kaifeng Jin

Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond

Recent advances in differentiable structure learning have framed the combinatorial problem of learning directed acyclic graphs as a continuous optimization problem. Various aspects, including data standardization, have been studied to identify factors that influence the empirical performance of thes