7 citations · 8 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 1 cited
Pochhammer Priors for Sparse Count Models
Yuexi Wang, Nicholas G. Polson
Bayesian hierarchical models are commonly employed for inference in count datasets, as they account for multiple levels of variation by incorporating prior distributions for parame…
stat.ML2019★ 7 cited
Data Augmentation for Bayesian Deep Learning
Yuexi Wang, Nicholas G. Polson, Vadim O. Sokolov
Deep Learning (DL) methods have emerged as one of the most powerful tools for functional approximation and prediction. While the representation properties of DL have been well stud…