Tschernutter, Daniel

4 publications

NeurIPS 2025 A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning Daniel Tschernutter, David Diego Castro, Maciej Kasiński

TMLR 2024 A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel

UAI 2022 Generalizing Off-Policy Learning Under Sample Selection Bias Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel

ICML 2022 Interpretable Off-Policy Learning via Hyperbox Search Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel