Professur für Optimization under Uncertainty & Data Analysis

Robust chance-constrained optimization with discrete distributions (2025) Bernhard D, Liers F, Stingl M Unpublished / Preprint A Gradient-Based Method for Joint Chance-Constrained Optimization with Continuous Distributions (2025) Bernhard D, Liers F, Stingl M Unpublished / Preprint Optimized Noise Suppression for Quantum Circuits (2025) Wagner F, Egger DJ, Liers F Journal article Scenario Reduction for Distributionally Robust Optimization (2025) Aigner KM, Denzler S, Liers F, Pokutta S, Sharma K Unpublished / Preprint Feature Selection for Data-driven Explainable Optimization (2025) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A, Rösel F Unpublished / Preprint Algorithms for robust chance-constrained optimization with mixture ambiguity (2025) Bernhard D, Stingl M, Liers F Unpublished / Preprint Datenbasierte Optimierung unter Unsicherheit für Stromnetzwerke (2024) Aigner KM Other publication type Computing Optimality Certificates for Convex Mixed-Integer Nonlinear Problems (2024) Halbig K, Hümbs L, Rösel F, Schewe L, Weninger D Journal article The non-stop disjoint trajectories problem (2024) Hoch B, Liers-Bergmann F, Neumann S, Zaragoza Martínez FJ Journal article A Framework for Data-driven Explainability in Mathematical Optimization (2024) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A Conference contribution, Conference Contribution