2 papers
math.OC2026
A proximal approach to the Schrödinger bridge problem with incomplete information and application to contamination tracking in water networks
Michele Mascherpa, Victor Molnö, Carsten Skovmose Kallesøe +1
In this work, we study a discrete Schrödinger bridge problem with partial marginal observations. A main difficulty compared to the classical Schrödinger bridge formulation is that…
math.OC2024
A cutting plane algorithm for globally solving low dimensional k-means clustering problems
Martin Ryner, Jan Kronqvist, Johan Karlsson
Clustering is one of the most fundamental tools in data science and machine learning, and k-means clustering is one of the most common such methods. There is a variety of approxima…