A review of Bayesian group selection approaches for linear regression models
Sign Up to like & getrecommendations! Published in 2020 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1513
Abstract: Grouping selection arises naturally in many statistical modeling problems. Several group selection methods have been proposed in the last two decades. In this paper, we review the Bayesian group selection approaches for linear regression models.… read more here.
Keywords: group; group selection; bayesian group; selection approaches ... See more keywords
Variational Bayesian Group-Level Sparsification for Knowledge Distillation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008854
Abstract: Deep neural networks are capable of learning powerful representation, but often limited by heavy network architectures and high computational cost. Knowledge distillation (KD) is one of the effective ways to perform model compression and inference… read more here.
Keywords: variational bayesian; knowledge distillation; group level; bayesian group ... See more keywords