Dimension of Marginals of Kronecker Product Models
Not on the map. Why?
Abstract (arXiv)
A Kronecker product model is the set of visible marginal probability distributions of an exponential family whose sufficient statistics matrix factorizes as a Kronecker product of two matrices, one for the visible variables and one for the hidden variables. We estimate the dimension of these models by the maximum rank of the Jacobian in the limit of large parameters. The limit is described by the tropical morphism; a piecewise linear map with pieces corresponding to slicings of the visible matrix by the normal fan of the hidden matrix. We obtain combinatorial conditions under which the model has the expected dimension, equal to the minimum of the number of natural parameters and the dimension of the ambient probability simplex. Additionally, we prove that the binary restricted Boltzmann machine always has the expected dimension.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Nov 2015.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 2.
4 papers.
- 2026Most ReLU Networks Admit Identifiable Parameterscited by 6
- 2023Identifiability of Product of Experts Modelscited by 3
- 2026Algebraic Invariants of Lightning Self-Attentioncited by 1
- 2023Supermodular Rank: Set Function Decomposition and Optimizationcited by 0
- 2026Most ReLU Networks Admit Identifiable Parameters5 May 2026
- 2026Algebraic Invariants of Lightning Self-Attention17 Apr 2026
- 2023Identifiability of Product of Experts Models13 Oct 2023
- 2023Supermodular Rank: Set Function Decomposition and Optimization24 May 2023