activity
20082025
most citedMeasures of Systemic Risk

142 citations · 658 across the 32 of their papers we have counts for

collaborators

37 papers

math.OC2025

Computing all Nash equilibria of low-rank bi-matrix games

Zachary Feinstein, Andreas Löhne, Birgit Rudloff

We study constrained bi-matrix games, with a particular focus on low-rank games. Our main contribution is a framework that reduces low-rank games to smaller, equivalent constrained…

q-fin.RM2023

Set-valued intrinsic measures of systemic risk

Jana Hlavinova, Birgit Rudloff, Alexander Smirnow

In recent years, it has become apparent that an isolated microprudential approach to capital adequacy requirements of individual institutions is insufficient. It can increase the h…

math.OC2023

Approximations of unbounded convex projections and unbounded convex sets

Gabriela Kováčová, Birgit Rudloff

We consider the problem of projecting a convex set onto a subspace, or equivalently formulated, the problem of computing a set obtained by applying a linear mapping to a convex fea…

math.OC2023

Approximating the set of Nash equilibria for convex games

Zachary Feinstein, Niklas Hey, Birgit Rudloff

In Feinstein and Rudloff (2023), it was shown that the set of Nash equilibria for any non-cooperative player game coincides with the set of Pareto optimal points of a certain v…

math.OC2022

Algorithms to solve unbounded convex vector optimization problems

Andrea Wagner, Firdevs Ulus, Birgit Rudloff +2

This paper is concerned with solution algorithms for general convex vector optimization problems (CVOPs). So far, solution concepts and approximation algorithms for solving CVOPs e…

math.OC2022★ 3 cited

Deep Learning the Efficient Frontier of Convex Vector Optimization Problems

Zachary Feinstein, Birgit Rudloff

In this paper, we design a neural network architecture to approximate the weakly efficient frontier of convex vector optimization problems (CVOP) satisfying Slater's condition. The…