A Contemporary Overview of Probabilistic Latent Variable Models

Abstract

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.

References in corpus (1)

• Generative Temporal Models with Memory

Cited by in corpus (1)

• Latent Variable Modeling for Generative Concept Representations and Deep Generative Models