1 citations · 1 across the 1 of their papers we have counts for
3 papers
math.OC2024
Derivative-free stochastic bilevel optimization for inverse problems
Mathias Staudigl, Simon Weissmann, Tristan van Leeuwen
Inverse problems are key issues in several scientific areas, including signal processing and medical imaging. Data-driven approaches for inverse problems aim for learning model and…
math.OC2024★ 1 cited
Barrier Algorithms for Constrained Non-Convex Optimization
Pavel Dvurechensky, Mathias Staudigl
In this paper we theoretically show that interior-point methods based on self-concordant barriers possess favorable global complexity beyond their standard application area of conv…
math.OC2024
Tikhonov regularized exterior penalty dynamics for constrained variational inequalities
Siqi Qu, Mathias Staudigl
Solving equilibrium problems under constraints is an important problem in optimization and optimal control. In this context an important practical challenge is the efficient incorp…