activity
20202026
most citedDegrees of the Wasserstein Distance to Small Toric Models

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

math.AG2026

The Euler Stratification for

Serkan Hoşten, Vadym Kurylenko, Elke Neuhaus +1

We study the Euler characteristic of a hypersurface in defined by a polynomial whose monomial support corresponds to lattice points in $Δ…

math.AG2025

Numerical Algebraic Geometry for Energy Computations on Tensor Train Varieties

Viktoriia Borovik, Hannah Friedman, Serkan Hoşten +1

We study energy minimization problems in quantum chemistry through the lens of computational algebraic geometry. We focus on minimizing the Rayleigh quotient of a Hamiltonian over…

math.AC2025

An Early History of Toric Ideals

Serkan Hoşten

Toric ideals are everywhere. They have been in the commutative algebra lexicon since about 1990 when Bernd Sturmfels used the term. The early days of toric ideals and their Gröbner…

math.AG2024★ 2 cited

Degrees of the Wasserstein Distance to Small Toric Models

Greg DePaul, Serkan Hoşten, Nilava Metya +1

The study of the closest point(s) on a statistical model from a given distribution in the probability simplex with respect to a fixed Wasserstein metric gives rise to a polyhedral…

math.ST2023★ 2 cited

Matroid Stratification of ML Degrees of Independence Models

Oliver Clarke, Serkan Hoşten, Nataliia Kushnerchuk +1

We study the maximum likelihood (ML) degree of discrete exponential independence models and models defined by the second hypersimplex. For models with two independent variables, we…

math.OC2020★ 1 cited

The degree of the central curve in semidefinite, linear, and quadratic programming

Serkan Hoşten, Isabelle Shankar, Angélica Torres

The Zariski closure of the central path which interior point algorithms track in convex optimization problems such as linear, quadratic, and semidefinite programs is an algebraic c…