1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2026
Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale
Sunmin Oh, Sang-Yun Oh, Gunwoong Park
Despite the growing availability of large datasets, causal structure learning remains computationally prohibitive at scale. We revisit sparsest-permutation learning for linear stru…
stat.ML2023★ 1 cited
Bayesian Approach to Linear Bayesian Networks
Seyong Hwang, Kyoungjae Lee, Sunmin Oh +1
This study proposes the first Bayesian approach for learning high-dimensional linear Bayesian networks. The proposed approach iteratively estimates each element of the topological…