3 papers
stat.ME2026
Generalized reparametrized variational Bayes with skew-symmetric normalization
Aoxiang Chen, Linda S. L. Tan
Bayesian hierarchical models with high-dimensional latent structure require scalable posterior approximations that preserve key dependencies while remaining computationally tractab…
stat.CO2025
Weighted Fisher divergence for high-dimensional Gaussian variational inference
Aoxiang Chen, David J. Nott, Linda S. L. Tan
Bayesian inference has many advantages for complex models, but standard Monte Carlo methods for summarizing the posterior can be computationally demanding, and it is attractive to…
stat.ME2024
Variational inference based on a subclass of closed skew normals
Linda S. L. Tan, Aoxiang Chen
Gaussian distributions are widely used in Bayesian variational inference to approximate intractable posterior densities, but the ability to accommodate skewness can improve approxi…