News

• New preprints out there: 

Dvurechensky, Pavel, Meggie Marschner, Shimrit Shtern, and Mathias Staudigl. “Extragradient methods with complexity guarantees for hierarchical variational inequalities.” arXiv preprint arXiv:2512.20791 (2025).

Luke, D. R., Schnebel, J. C., Staudigl, M., Peypouquet, J., & Qu, S. (2026). Asymptotic behaviour of coupled random dynamical systems with multiscale aspects. arXiv preprint arXiv:2601.15411.

• Together with D. Cortild, we are organising a mini-sympoisum at SIOPT26 on Exploiting Structures in Monotone Inclusion Problems and Applications to Bilevel Optimization
• Mathias Staudigl participates at the SINO-German workshop on “Intelligent numerical mathematics” – a joint initiative between the DFG and the NSFC.
• Mathias Staudigl is invited to give a talk at the EUCCO2025!
• The Mannheim Mathematical Optimization group organizes a stream on  Data driven optimization for inverse problems: Theory and computational advances at the ENUMAT2025 in Heidelberg. See you there!
• New Publication: "Complexity guarantees for risk-neutral generalized Nash equilibrium problems” (joint w/ H.Tau, M. Marschner, U. Shanbhag, S. Cui and A. Iannelli) [pdf]
• Publication: “Derivative-free stochastic bilevel optimization for inverse problems” (joint w/ S. Weißmann and Tristan van Leeuwen) [pdf]
• Publication: "A Regularized Variance-Reduced Modified Extragradient Method for Stochastic Hierarchical Games” (joint w./ U.Shanbhag and S. Cui) [pdf]