3 papers
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…
math.ST2024
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
Hengrui Luo, Meng Li
Tree-based methods are powerful nonparametric techniques in statistics and machine learning. However, their effectiveness, particularly in finite-sample settings, is not fully unde…
stat.ME2023
Valid confidence intervals for regression with best subset selection
Huiming Lin, Meng Li
Classical confidence intervals after best subset selection are widely implemented in statistical software and are routinely used to guide practitioners in scientific fields to conc…