Emulating the Expert: Inverse Optimization through Online Learning. - Andreas Bärmann; Sebastian Pokutta; Oskar Schneider (ICML, 2017)

A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation. - Andreas Bärmann; Alexander Martin 001; Oskar Schneider (Public Transp., 2017)

An Online-Learning Approach to Inverse Optimization. - Andreas Bärmann; Alexander Martin 001; Sebastian Pokutta; Oskar Schneider (CoRR, 2018)

Staircase compatibility and its applications in scheduling and piecewise linearization. - Andreas Bärmann; Thorsten Gellermann; Maximilian Merkert; Oskar Schneider (Discret. Optim., 2018)

Efficient Formulations and Decomposition Approaches for Power Peak Reduction in Railway Traffic via Timetabling. - Andreas Bärmann; Alexander Martin 001; Oskar Schneider (Transp. Sci., 2021)

Set characterizations and convex extensions for geometric convex-hull proofs. - Andreas Bärmann; Oskar Schneider (Math. Program., 2022)

EETTlib - Energy-efficient train timetabling library. - Andreas Bärmann; Patrick Gemander; Lukas Hager; Frederik Nöth; Oskar Schneider (Networks, 2023)

Data-Driven Distributionally Robust Optimization over Time. - Kevin-Martin Aigner; Andreas Bärmann; Kristin Braun; Frauke Liers; Sebastian Pokutta; Oskar Schneider; Kartikey Sharma; Sebastian Tschuppik (INFORMS J. Optim., 2023)

The Bipartite Boolean Quadric Polytope with Multiple-Choice Constraints. - Andreas Bärmann; Alexander Martin 001; Oskar Schneider (SIAM J. Optim., 2023)