Mixtures and products in two graphical models
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Abstract (arXiv)
We compare two statistical models of three binary random variables. One is a mixture model and the other is a product of mixtures model called a restricted Boltzmann machine. Although the two models we study look different from their parametrizations, we show that they represent the same set of distributions on the interior of the probability simplex, and are equal up to closure. We give a semi-algebraic description of the model in terms of six binomial inequalities and obtain closed form expressions for the maximum likelihood estimates. We briefly discuss extensions to larger models.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Sep 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 0; 2026: 1.
4 papers.
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- 2023Identifiability of Product of Experts Models13 Oct 2023
- 2023Supermodular Rank: Set Function Decomposition and Optimization24 May 2023
- 2021Geometry of Linear Convolutional Networks3 Aug 2021