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stat.ML2026
Decomposition for Bayesian Networks: Local and Parallel Inference
Pei Heng, Xinyi Hu, Yi Sun
Probabilistic inference in high-dimensional Bayesian networks is difficult because exact manipulation of the joint distribution scales exponentially with network size. We propose a…
stat.ML2026
Estimate Collapsibility of Causal Effects in Completed Partial DAGs via Strong d-Convex Hulls
Yuxin Deng, Yi Sun, Zhiming Li +1
This paper proposes a collapsible method for estimating causal effects that maintains the estimator's consistency before and after marginalization over some variables in completed…
stat.ML2026
Structural Dimension Reduction in Bayesian Networks
Pei Heng, Yi Sun, Jianhua Guo
This work introduces a novel technique, named structural dimension reduction, to collapse a Bayesian network onto a minimum and localized one while ensuring that probabilistic infe…