Research Focus: Week of July 29, 2024
NEW RESEARCH
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Differentiable causal discovery has made significant advancements in the learning of directed acyclic graphs. However, its application to real-world datasets remains restricted due to the ubiquity of latent confounders and the requirement to learn maximal ancestral