2 papers
stat.ME2025
Robust Variational Bayes by Min-Max Median Aggregation
Jiawei Yan, Ju Liu, Weidong Liu +1
We propose a robust and scalable variational Bayes (VB) framework designed to effectively handle contamination and outliers in dataset. Our approach partitions the data into di…
math.ST2025
Variational Bernstein-von Mises theorem with increasing parameter dimension
Jiawei Yan, Peirong Xu, Tao Wang
Variational Bayes (VB) provides a computationally efficient alternative to Markov Chain Monte Carlo, especially for high-dimensional and large-scale inference. However, existing th…