On smoothness properties of optimal value functions at the boundary of their domain under complete convexity. - Oliver Stein; Nathan Sudermann-Merx (Math. Methods Oper. Res., 2014)

The Cone Condition and Nonsmoothness in Linear Generalized Nash Games. - Oliver Stein; Nathan Sudermann-Merx (J. Optim. Theory Appl., 2016)

Solving linear generalized Nash equilibrium problems numerically. - Axel Dreves; Nathan Sudermann-Merx (Optim. Methods Softw., 2016)

The noncooperative transportation problem and linear generalized Nash games. - Oliver Stein; Nathan Sudermann-Merx (Eur. J. Oper. Res., 2018)

A feasible rounding approach for mixed-integer optimization problems. - Christoph Neumann 002; Oliver Stein; Nathan Sudermann-Merx (Comput. Optim. Appl., 2019)

The noncooperative fixed charge transportation problem. - Simone Sagratella; Marcel Schmidt; Nathan Sudermann-Merx (Eur. J. Oper. Res., 2020)

Granularity in Nonlinear Mixed-Integer Optimization. - Christoph Neumann 002; Oliver Stein; Nathan Sudermann-Merx (J. Optim. Theory Appl., 2020)

ENTMOOT: A framework for optimization over ensemble tree models. - Alexander Thebelt; Jan Kronqvist; Miten Mistry; Robert M. Lee; Nathan Sudermann-Merx; Ruth Misener (Comput. Chem. Eng., 2021)

Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles. - Alexander Thebelt; Calvin Tsay; Robert M. Lee; Nathan Sudermann-Merx; David Walz; Tom Tranter; Ruth Misener (CoRR, 2021)

Leveraged least trimmed absolute deviations. - Nathan Sudermann-Merx; Steffen Rebennack (OR Spectr., 2021)

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. - Alexander Thebelt; Calvin Tsay; Robert M. Lee; Nathan Sudermann-Merx; David Walz; Behrang Shafei; Ruth Misener (NeurIPS, 2022)