A Contemporary Overview of Probabilistic Latent Variable Models
arXiv:1706.08137v22 citations
AI Analysis
It offers a synthesis for researchers and practitioners in statistics and machine learning, but is incremental as it reviews existing models without new contributions.
The paper provides a conceptual overview of probabilistic latent variable models, focusing on their compositional nature and interconnectedness across statistical practice.
In this paper we provide a conceptual overview of latent variable models within a probabilistic modeling framework, an overview that emphasizes the compositional nature and the interconnectedness of the seemingly disparate models commonly encountered in statistical practice.