Publications

Ricardo Knauer, and Erik Rodner. Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective. KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI, Berlin, Germany, September 26--29, 2023, Proceedings, 114--129, Springer-Verlag, Berlin, Heidelberg, 2023. [PUMA: best conic cost-sensitive interpretable learning machine meta-learning mixed-integer optimization selection subset zno]

Pascal Kerschke, and Heike Trautmann. Automated algorithm selection on continuous black-box problems by combining Exploratory Landscape Analysis and machine learning. Evol. Comput., (27)1:99--127, MIT Press, 2019. [PUMA: algorithm analysis black-box continuous exploratory landscape learning machine optimization selection single-objective zno automated]