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Found 8 papers, 1 papers with code
Supermodular Rank: Set Function Decomposition and Optimization
We define the supermodular rank of a function on a lattice.
Linear Causal Disentanglement via Interventions
A representation is identifiable if both the latent model and the transformation from latent to observed variables are unique.
Toric invariant theory for maximum likelihood estimation in log-linear models
We establish connections between invariant theory and maximum likelihood estimation for discrete statistical models.
Statistics Theory Algebraic Geometry Statistics Theory 14L24, 14P05, 20G45, 62F10, 62H22, 62R01
The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices
We study multivariate Gaussian models that are described by linear conditions on the concentration matrix.
Algebraic Geometry Statistics Theory Statistics Theory 62R01, 14C17, 14Q15, 15A15
Learning Paths from Signature Tensors
Given a tensor in the orbit of another tensor, we compute a matrix which transforms one to the other.
Duality of Graphical Models and Tensor Networks
For example, marginalization in a graphical model is dual to contraction in the tensor network.
Mixtures and products in two graphical models
We compare two statistical models of three binary random variables.
Tensor clustering with algebraic constraints gives interpretable groups of crosstalk mechanisms in breast cancer
Our clustering method is general and can be tailored to a variety of applications in science and industry.
