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stat.ME2025
Bend to Mend: Toward Trustworthy Variational Bayes with Valid Uncertainty Quantification
Jiaming Liu, Meng Li
Variational Bayes (VB) is a popular and computationally efficient method to approximate the posterior distribution in Bayesian inference, especially when the exact posterior is ana…
stat.ME2025
Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
Shengbin Ye, Meng Li
Variable selection remains a fundamental challenge in statistics, especially in nonparametric settings where model complexity can obscure interpretability. Bayesian tree ensembles,…