MLOTJun 25, 2017

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.

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