Conditional sum-product networks: modular probabilistic circuits via gate functions

DOI10.1016/j.ijar.2021.10.011OpenAlexW3213261913MaRDI QIDQ2069070

Kristian Kersting, Alejandro Molina, Thomas Liebig, Robert Peharz, Antonio Vergari, Karl Stelzner, Xiaoting Shao

Publication date: 20 January 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2021.10.011

zbMATH Keywords

variational inferenceprobabilistic circuitstractable inferenceconditional probabilistic modelingsum-product-networks

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Cautious classification with data missing not at random using generative random forests

Uses Software

• TensorFlow
• Adam

Cites Work

• Generalized linear models
• Moment-based approximations of distributions using mixtures: Theory and applications
• An introduction to variational methods for graphical models
• A differential approach to inference in Bayesian networks
• A Universal Approximation Theorem for Mixture-of-Experts Models
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