2 citations · 2 across the 3 of their papers we have counts for
6 papers
Algebraic degree of optimization over a variety with an application to -norm distance degree
Kaie Kubjas, Olga Kuznetsova, Luca Sodomaco
We study an optimization problem with the feasible set being a real algebraic variety and whose parametric objective function is gradient-solvable with respect to the par…
Identifying 3D Genome Organization in Diploid Organisms via Euclidean Distance Geometry
Anastasiya Belyaeva, Kaie Kubjas, Lawrence J. Sun +1
The spatial organization of the DNA in the cell nucleus plays an important role for gene regulation, DNA replication, and genomic integrity. Through the development of chromosome c…
The Model-Specific Markov Embedding Problem for Symmetric Group-Based Models
Muhammad Ardiyansyah, Dimitra Kosta, Kaie Kubjas
We study model embeddability, which is a variation of the famous embedding problem in probability theory, when apart from the requirement that the Markov matrix is the matrix expon…
Maximum Likelihood Estimation of Toric Fano Varieties
Carlos Améndola, Dimitra Kosta, Kaie Kubjas
We study the maximum likelihood estimation problem for several classes of toric Fano models. We start by exploring the maximum likelihood degree for all -dimensional Gorenstein…
Uniqueness of nonnegative matrix factorizations by rigidity theory
Robert Krone, Kaie Kubjas
Nonnegative matrix factorizations are often encountered in data mining applications where they are used to explain datasets by a small number of parts. For many of these applicatio…
Low degree minimal generators of phylogenetic semigroups
Kaie Kubjas
The phylogenetic semigroup on a graph generalizes the Jukes-Cantor binary model on a tree. Minimal generating sets of phylogenetic semigroups have been described for trivalent tree…